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Department of Engineering

Computational and Biological Learning - Research Group Publications

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Number of items: 855.

2014

Acerbi, L and Vijayakumar, S and Wolpert, DM (2014) On the origins of suboptimality in human probabilistic inference. PLoS Comput Biol, 10. e1003661-.

Berniker, M and Franklin, DW and Flanagan, JR and Wolpert, DM and Kording, K (2014) Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning. J Neurophysiol, 111. pp. 1165-1182.

Burk, D and Ingram, JN and Franklin, DW and Shadlen, MN and Wolpert, DM (2014) Motor effort alters changes of mind in sensorimotor decision making. PLoS One, 9. e92681-.

Cunningham, JP and Ghahramani, Z (2014) Unifying linear dimensionality reduction.

Davies, A and Ghahramani, Z (2014) The Random Forest Kernel and other kernels for big data from random partitions.

Duvenaud, D and Rippel, O and Adams, RP and Ghahramani, Z (2014) Avoiding pathologies in very deep networks.

Hernández-Lobato, JM and Hoffman, MW and Ghahramani, Z (2014) Predictive Entropy Search for Efficient Global Optimization of Black-box Functions.

Lawson, RP and Nord, CL and Seymour, B and Thomas, DL and Dolan, RJ and Dayan, P and Weiskopf, N and Roiser, JP (2014) Habenula responses during appetitive and aversive conditioning in major depressive disorder. J Neurol Neurosurg Psychiatry, 85. e3-.

Leong, V and Stone, MA and Turner, RE and Goswami, U (2014) A role for amplitude modulation phase relationships in speech rhythm perception. J Acoust Soc Am, 136. pp. 366-381.

Lloyd, JR and Duvenaud, D and Grosse, R and Tenenbaum, JB and Ghahramani, Z (2014) Automatic Construction and Natural-Language Description of Nonparametric Regression Models.

Lopez-Paz, D and Sra, S and Smola, A and Ghahramani, Z and Schölkopf, B (2014) Randomized Nonlinear Component Analysis.

Matthews, AGDG and Ghahramani, Z (2014) Classification using log Gaussian Cox processes.

Palla, K and Knowles, DA and Ghahramani, Z (2014) A reversible infinite HMM using normalised random measures.

Reichenbach, A and Franklin, DW and Zatka-Haas, P and Diedrichsen, J (2014) A dedicated binding mechanism for the visual control of movement. Curr Biol, 24. pp. 780-785.

Rosa, MJ and Seymour, B (2014) Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging. Pain, 155. pp. 864-867. ISSN 0304-3959

Rosa, MJ and Seymour, B (2014) Decoding the matrix: benefits and limitations of applying machine learning algorithms to pain neuroimaging. Pain, 155. pp. 864-867.

Savin, C and Dayan, P and Lengyel, M (2014) Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. PLoS Comput Biol, 10. e1003489-.

Shah, A and Wilson, AG and Ghahramani, Z (2014) Student-t Processes as Alternatives to Gaussian Processes.

Shergill, SS and White, TP and Joyce, DW and Bays, PM and Wolpert, DM and Frith, CD (2014) Functional magnetic resonance imaging of impaired sensory prediction in schizophrenia. JAMA Psychiatry, 71. pp. 28-35.

Sprekeler, H and Zito, T and Wiskott, L (2014) An extension of slow feature analysis for nonlinear blind source separation. Journal of Machine Learning Research, 15. pp. 921-947. ISSN 1532-4435

Story, GW and Vlaev, I and Seymour, B and Darzi, A and Dolan, RJ (2014) Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective. Front Behav Neurosci, 8. 76-. ISSN 1662-5153

Vlaev, I and Seymour, B and Chater, N and Winston, JS and Yoshida, W and Wright, N and Symmonds, M and Dolan, R (2014) Prices need no preferences: social trends determine decisions in experimental markets for pain relief. Health Psychol, 33. pp. 66-76.

Wolpe, N and Wolpert, DM and Rowe, JB (2014) Seeing what you want to see: priors for one's own actions represent exaggerated expectations of success. Front Behav Neurosci, 8. 232-.

Wu, Y and Lobato, JMH and Ghahramani, Z (2014) Gaussian Process Volatility Model.

Yoshida, W and Seymour, B (2014) Decisions about decisions. Neuron, 81. pp. 468-470.

Yu, R and Mobbs, D and Seymour, B and Rowe, JB and Calder, AJ (2014) The neural signature of escalating frustration in humans. Cortex, 54. pp. 165-178.

Zhou, K and Wolpert, DM and De Zeeuw, CI (2014) Motor systems: reaching out and grasping the molecular tools. Curr Biol, 24. R269-R271.

van den Berg, R and Awh, E and Ma, WJ (2014) Factorial comparison of working memory models. Psychol Rev, 121. pp. 124-149.

van den Berg, R and Ma, WJ (2014) "Plateau"-related summary statistics are uninformative for comparing working memory models. Atten Percept Psychophys.

2013

Bousmalis, K and Zafeiriou, S and Morency, L-P and Pantic, M and Ghahramani, Z (2013) Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures. In: UNSPECIFIED pp. 531-547..

Bratieres, S and Quadrianto, N and Ghahramani, Z (2013) Bayesian Structured Prediction Using Gaussian Processes.

Darkins, R and Cooke, EJ and Ghahramani, Z and Kirk, PD and Wild, DL and Savage, RS (2013) Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm. PLoS One, 8. e59795-.

Dimitriou, M and Wolpert, DM and Franklin, DW (2013) The temporal evolution of feedback gains rapidly update to task demands. J Neurosci, 33. pp. 10898-10909.

Dreher, JC and Seymour, B and Tobler, PN (2013) Punishment-based decision making. Front Neurosci, 7. 236-. ISSN 1662-4548

Duvenaud, D and Lloyd, JR and Grosse, R and Tenenbaum, JB and Ghahramani, Z (2013) Structure Discovery in Nonparametric Regression through Compositional Kernel Search.

Eaton, F and Ghahramani, Z (2013) Model reductions for inference: generality of pairwise, binary, and planar factor graphs. Neural Comput, 25. pp. 1213-1260.

Fiser, J and Popovic, M and Haefner, RM and Lengyel, M (2013) Time and making perceptual decisions. PERCEPTION, 42. p. 237. ISSN 0301-0066

Franklin, DW and Selen, LP and Franklin, S and Wolpert, DM (2013) Selection and control of limb posture for stability. Conf Proc IEEE Eng Med Biol Soc, 2013. pp. 5626-5629. ISSN 1557-170X

Frigola, R and Lindsten, F and Schön, TB and Rasmussen, CE (2013) Bayesian inference and learning in Gaussian process state-space models with Particle MCMC. Advances in Neural Information Processing Systems. ISSN 1049-5258

Frigola, R and Rasmussen, CE (2013) Integrated pre-processing for bayesian nonlinear system identification with gaussian processes. Proceedings of the IEEE Conference on Decision and Control. pp. 5371-5376. ISSN 0191-2216

Frémaux, N and Sprekeler, H and Gerstner, W (2013) Reinforcement learning using a continuous time actor-critic framework with spiking neurons. PLoS Comput Biol, 9. e1003024-.

Ghahramani, Z (2013) Bayesian non-parametrics and the probabilistic approach to modelling. Philos Trans A Math Phys Eng Sci, 371. 20110553-. ISSN 1364-503X

Hernandez-Lobato, D and Miguel Hernandez-Lobato, J and Dupont, P (2013) Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation. JOURNAL OF MACHINE LEARNING RESEARCH, 14. pp. 1891-1945. ISSN 1532-4435

Houlsby, NM and Huszár, F and Ghassemi, MM and Orbán, G and Wolpert, DM and Lengyel, M (2013) Cognitive tomography reveals complex, task-independent mental representations. Current biology : CB, 23. pp. 2169-2175. ISSN 1879-0445

Houlsby, NT and Huszár, F and Ghassemi, M and Orbán, G and Wolpert, D and Lengyel, M (2013) Cognitive Tomography Reveals Complex, Task-Independent Mental Representations. Current Biology. ISSN 0960-9822

Howard, IS and Wolpert, DM and Franklin, DW (2013) The effect of contextual cues on the encoding of motor memories. J Neurophysiol, 109. pp. 2632-2644.

Ingram, JN and Flanagan, JR and Wolpert, DM (2013) Context-dependent decay of motor memories during skill acquisition. Curr Biol, 23. pp. 1107-1112.

Iwata, T and Shah, A and Ghahramani, Z (2013) Discovering latent influence in online social activities via shared cascade poisson processes. In: UNSPECIFIED pp. 266-274..

Keshvari, S and van den Berg, R and Ma, WJ (2013) No evidence for an item limit in change detection. PLoS Comput Biol, 9. e1002927-.

Lacoste-Julien, S and Palla, K and Davies, A and Kasneci, G and Graepel, T and Ghahramani, Z (2013) SIGMa: simple greedy matching for aligning large knowledge bases. In: UNSPECIFIED pp. 572-580..

Lamperski, A and Ames, AD (2013) Lyapunov theory for zeno stability. IEEE Transactions on Automatic Control, 58. pp. 100-112. ISSN 0018-9286

Lamperski, A and Doyle, JC (2013) Output feedback H2 model matching for decentralized systems with delays. In: UNSPECIFIED pp. 5778-5783..

Lopez-Paz, D and Hernández-Lobato, JM and Ghahramani, Z (2013) Gaussian Process Vine Copulas for Multivariate Dependence.

Mazyar, H and van den Berg, R and Seilheimer, RL and Ma, WJ (2013) Independence is elusive: set size effects on encoding precision in visual search. J Vis, 13.

Palla, K and Knowles, DA and Ghahramani, Z (2013) A dependent partition-valued process for multitask clustering and time evolving network modelling.

Pawlak, V and Greenberg, DS and Sprekeler, H and Gerstner, W and Kerr, JN (2013) Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. Elife, 2. e00012-.

Quadrianto, N and Sharmanska, V and Knowles, DA and Ghahramani, Z (2013) The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.

Reed, C and Ghahramani, Z (2013) Scaling the Indian Buffet Process via Submodular Maximization. In ICML 2013: JMLR W&CP 28 (3): 1013-1021, 2013.

Rüter, J and Sprekeler, H and Gerstner, W and Herzog, MH (2013) The Silent Period of Evidence Integration in Fast Decision Making. PLoS ONE, 8. ISSN 1932-6203

Savage, RS and Ghahramani, Z and Griffin, JE and Kirk, P and Wild, DL (2013) Identifying cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data. International Conference on Machine Learning (ICML) 2012: Workshop on Machine Learning in Genetics and Genomics.

Savin, C and Dayan, P and Lengyel, M (2013) Correlations strike back (again): The case of associative memory retrieval. Advances in Neural Information Processing Systems. ISSN 1049-5258

Shah, A and Ghahramani, Z (2013) Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.

Shen, K and Tootoonian, S and Laurent, G (2013) Encoding of mixtures in a simple olfactory system. Neuron, 80. pp. 1246-1262. ISSN 0896-6273

Shen, K and Tootoonian, S and Laurent, G (2013) Encoding of mixtures in a simple olfactory system. Neuron, 80. pp. 1246-1262.

Shergill, SS and White, TP and Joyce, DW and Bays, PM and Wolpert, DM and Frith, CD (2013) Modulation of somatosensory processing by action. Neuroimage, 70. pp. 356-362.

Story, GW and Vlaev, I and Seymour, B and Winston, JS and Darzi, A and Dolan, RJ (2013) Dread and the disvalue of future pain. PLoS Comput Biol, 9. e1003335-.

Tommasi, T and Quadrianto, N and Caputo, B and Lampert, CH (2013) Beyond dataset bias: Multi-task unaligned shared knowledge transfer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7724 L. pp. 1-15. ISSN 0302-9743

Wu, Y and Hernández-Lobato, JM and Ghahramani, Z (2013) Dynamic Covariance Models for Multivariate Financial Time Series.

Yoshida, W and Seymour, B and Koltzenburg, M and Dolan, RJ (2013) Uncertainty increases pain: evidence for a novel mechanism of pain modulation involving the periaqueductal gray. J Neurosci, 33. pp. 5638-5646.

2012

Acerbi, L and Wolpert, DM and Vijayakumar, S (2012) Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing. PLoS Comput Biol, 8. e1002771-.

Crockett, MJ and Clark, L and Roiser, JP and Robinson, OJ and Cools, R and Chase, HW and Den Ouden, H and Apergis-Schoute, A and Campbell-Meiklejohn, D and Seymour, B and Sahakian, BJ and Rogers, RD and Robbins, TW (2012) Converging evidence for central 5-HT effects in acute tryptophan depletion (Molecular Psychiatry (2012) 17, (121-123) DOI: 10.1038/mp.2011.106). Molecular Psychiatry, 17. p. 470. ISSN 1359-4184

Crockett, MJ and Clark, L and Roiser, JP and Robinson, OJ and Cools, R and Chase, HW and Ouden, HD and Apergis-Schoute, A and Campbell-Meiklejohn, D and Seymour, B and Sahakian, BJ and Rogers, RD and Robbins, TW (2012) Converging evidence for central 5-HT effects in acute tryptophan depletion. Mol Psychiatry, 17. pp. 121-123.

Cunningham, J and Ghahramani, Z and Rasmussen, CE (2012) Gaussian Processes for time-marked time-series data. Journal of Machine Learning Research, 22. pp. 255-263.

Deisenroth, MP and Turner, RD and Huber, MF and Hanebeck, UD and Rasmussen, CE (2012) Robust filtering and smoothing with gaussian processes. IEEE Transactions on Automatic Control, 57. pp. 1865-1871. ISSN 0018-9286

Dimitriou, M and Franklin, DW and Wolpert, DM (2012) Task-dependent coordination of rapid bimanual motor responses. J Neurophysiol, 107. pp. 890-901.

Franklin, S and Wolpert, DM and Franklin, DW (2012) Visuomotor feedback gains upregulate during the learning of novel dynamics. J Neurophysiol, 108. pp. 467-478.

Freer, CE and Roy, DM (2012) Computable de Finetti measures. Annals of Pure and Applied Logic, 163. pp. 530-546. ISSN 0168-0072

Gerstner, W and Sprekeler, H and Deco, G (2012) Theory and simulation in neuroscience. Science, 338. pp. 60-65.

Herzog, MH and Aberg, KC and Frémaux, N and Gerstner, W and Sprekeler, H (2012) Perceptual learning, roving and the unsupervised bias. Vision Research, 61. pp. 95-99. ISSN 0042-6989

Howard, IS and Ingram, JN and Franklin, DW and Wolpert, DM (2012) Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states. J Neurosci, 32. pp. 12756-12768.

Iwata, T and Duvenaud, D and Ghahramani, Z (2012) Warped Mixtures for Nonparametric Cluster Shapes.

Kadiallah, A and Franklin, DW and Burdet, E (2012) Generalization in Adaptation to Stable and Unstable Dynamics. PLoS ONE, 7. ISSN 1932-6203

Keshvari, S and van den Berg, R and Ma, WJ (2012) Probabilistic computation in human perception under variability in encoding precision. PLoS One, 7. e40216-.

Kirk, P and Griffin, JE and Savage, RS and Ghahramani, Z and Wild, DL (2012) Bayesian correlated clustering to integrate multiple datasets. Bioinformatics, 28. pp. 3290-3297.

Lacoste-Julien, S and Palla, K and Davies, A and Kasneci, G and Graepel, T and Ghahramani, Z (2012) SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. arXiv.

Lamperski, A and Doyle, JC (2012) Dynamic programming solutions for decentralized state-feedback LQG problems with communication delays. In: UNSPECIFIED pp. 6322-6327..

Lamperski, A and Lessard, L (2012) Optimal State-Feedback Control under Sparsity and Delay Constraints. In: UNSPECIFIED 204-209-204-209..

Mazyar, H and van den Berg, R and Ma, WJ (2012) Does precision decrease with set size? J Vis, 12. 10-.

Messum, P and Howard, IS (2012) Speech development: Toddlers don't mind getting it wrong. Current Biology, 22. R160-R161. ISSN 0960-9822

Mohamed, S and Heller, KA and Ghahramani, Z (2012) Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . In: UNSPECIFIED.

Murray, I and Ghahramani, Z (2012) Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms. CoRR, abs/12.

Nishikawa, KC and Monroy, JA and Uyeno, TE and Yeo, SH and Pai, DK and Lindstedt, SL (2012) Is titin a 'winding filament'? A new twist on muscle contraction. Proc Biol Sci, 279. pp. 981-990.

Niu, D and Dy, JG and Ghahramani, Z (2012) A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. Journal of Machine Learning Research, 22. pp. 814-822.

Osborne, MA and Duvenaud, D and Garnett, R and Rasmussen, CE and Roberts, SJ and Ghahramani, Z (2012) Active learning of model evidence using Bayesian quadrature. Advances in Neural Information Processing Systems, 1. pp. 46-54. ISSN 1049-5258

Palla, K and Knowles, D and Ghahramani, Z (2012) An Infinite Latent Attribute Model for Network Data. International Conference on Machine Learning.

Poczos, B and Ghahramani, Z and Schneider, J (2012) Copula-based Kernel Dependency Measures. International Conference on Machine Learning.

Popovic, M and Lengyel, M and Fiser, J (2012) Decision-making under time constraints supports sampling-based representation of uncertainty in vision. PERCEPTION, 41. pp. 58-59. ISSN 0301-0066

Póczos, B and Ghahramani, Z and Schneider, JG (2012) Copula-based Kernel Dependency Measures. In: UNSPECIFIED.

Quadrianto, N and Chen, C and Lampert, CH (2012) The most persistent soft-clique in a set of sampled graphs. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 1. pp. 583-590.

Rüter, J and Marcille, N and Sprekeler, H and Gerstner, W and Herzog, MH (2012) Paradoxical evidence integration in rapid decision processes. PLoS Computational Biology, 8. ISSN 1553-734X

Salakhutdinov, R and Roweis, ST and Ghahramani, Z (2012) On the Convergence of Bound Optimization Algorithms. CoRR, abs/12.

Sandercock, TG and Yeo, SH and Pai, DK and Tresch, MC (2012) Transducer and base compliance alter the in situ 6 dof force measured from muscle during an isometric contraction in a multi-joint limb. J Biomech, 45. pp. 1017-1022.

Selen, LP and Shadlen, MN and Wolpert, DM (2012) Deliberation in the motor system: reflex gains track evolving evidence leading to a decision. J Neurosci, 32. pp. 2276-2286.

Seymour, B (2012) The maladaptive brain: excitable pathways to chronic pain. Brain, 135. pp. 316-318.

Seymour, B and Daw, ND and Roiser, JP and Dayan, P and Dolan, R (2012) Serotonin selectively modulates reward value in human decision-making. J Neurosci, 32. pp. 5833-5842.

Seymour, B and Vlaev, I (2012) Can, and should, behavioural neuroscience influence public policy? Trends in Cognitive Sciences, 16. pp. 449-451. ISSN 1364-6613

Sharmanska, V and Quadrianto, N and Lampert, CH (2012) Augmented attribute representations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7576 L. pp. 242-255. ISSN 0302-9743

Shiner, T and Seymour, B and Symmonds, M and Dayan, P and Bhatia, KP and Dolan, RJ (2012) The Effect of Motivation on Movement: A Study of Bradykinesia in Parkinson's Disease. PLoS ONE, 7. ISSN 1932-6203

Shiner, T and Seymour, B and Wunderlich, K and Hill, C and Bhatia, KP and Dayan, P and Dolan, RJ (2012) Dopamine and performance in a reinforcement learning task: Evidence from Parkinson's disease. Brain, 135. pp. 1871-1883. ISSN 0006-8950

Shiner, T and Seymour, B and Wunderlich, K and Hill, C and Bhatia, KP and Dayan, P and Dolan, RJ (2012) Dopamine and performance in a reinforcement learning task: evidence from Parkinson's disease. Brain, 135. pp. 1871-1883.

Sohn, KA and Ghahramani, Z and Xing, EP (2012) Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach. Genetics, 191. pp. 1295-1308.

Steinhardt, J and Ghahramani, Z (2012) Flexible Martingale Priors for Deep Hierarchies. Journal of Machine Learning Research, 22. pp. 1108-1116.

Tootoonian, S and Coen, P and Kawai, R and Murthy, M (2012) Neural representations of courtship song in the Drosophila brain. J Neurosci, 32. pp. 787-798.

Turner, R and Rasmussen, CE (2012) Model based learning of sigma points in unscented Kalman filtering. Neurocomputing, 80. pp. 47-53. ISSN 0925-2312

Turner, RE and Sahani, M (2012) Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. pp. 2173-2176. ISSN 1520-6149

Turnham, EJ and Braun, DA and Wolpert, DM (2012) Facilitation of learning induced by both random and gradual visuomotor task variation. J Neurophysiol, 107. pp. 1111-1122.

Williamson, S and Ghahramani, Z and MacEachern, SN and Xing, EP (2012) Restricting exchangeable nonparametric distributions.

Wilson, AG and Ghahramani, Z (2012) Modelling Input Varying Correlations between Multiple Responses. In: UNSPECIFIED pp. 858-861..

Wolpert, DM and Landy, MS (2012) Motor control is decision-making. Curr Opin Neurobiol, 22. pp. 996-1003.

Wolpert, DM and Landy, MS (2012) Motor control is decision-making. Current opinion in neurobiology, 22. pp. 996-1003. ISSN 1873-6882

Wongpiromsarn, T and Mitra, S and Lamperski, A and Murray, RM (2012) Verification of periodically controlled hybrid systems: Application to an autonomous vehicle. Transactions on Embedded Computing Systems, 11. ISSN 1539-9087

van den Berg, R and Johnson, A and Martinez Anton, A and Schepers, AL and Cornelissen, FW (2012) Comparing crowding in human and ideal observers. J Vis, 12. 13-.

van den Berg, R and Ma, WJ (2012) Robust averaging during perceptual judgment is not optimal. Proc Natl Acad Sci U S A, 109. E736-.

van den Berg, R and Shin, H and Chou, WC and George, R and Ma, WJ (2012) Variability in encoding precision accounts for visual short-term memory limitations. Proc Natl Acad Sci U S A, 109. pp. 8780-8785.

van den Berg, R and Vogel, M and Josic, K and Ma, WJ (2012) Optimal inference of sameness. Proc Natl Acad Sci U S A, 109. pp. 3178-3183.

2011

Abbott, JT and Heller, KA and Ghahramani, Z and Griffiths, T (2011) Testing a Bayesian Measure of Representativeness Using a Large Image Database. In: UNSPECIFIED pp. 2321-2329..

Ackerman, NL and Freer, CE and Roy, DM (2011) Noncomputable conditional distributions. Proceedings - Symposium on Logic in Computer Science. pp. 107-116. ISSN 1043-6871

Bahramisharif, A and Gerven, MAJV and Schoffelen, J-M and Ghahramani, Z and Heskes, T (2011) The Dynamic Beamformer. In: UNSPECIFIED pp. 148-155..

Berkes, P and Orban, G and Lengyel, M and Fiser, J (2011) Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment. SCIENCE, 331. pp. 83-87. ISSN 0036-8075

Braun, DA and Nagengast, AJ and Wolpert, DM (2011) Risk-sensitivity in sensorimotor control. Front Hum Neurosci, 5. 1-.

Braun, DA and Ortega, PA and Wolpert, DM (2011) Erratum to: Motor coordination: When two have to act as one (Experimental Brain Research (2011) 211, (631-641) DOI: 10.1007/s00221-011-2642-y). Experimental Brain Research, 212. pp. 645-646. ISSN 0014-4819

Braun, DA and Ortega, PA and Wolpert, DM (2011) Motor coordination: when two have to act as one (vol 211, pg 631, 2011). EXP BRAIN RES, 212. pp. 645-646. ISSN 0014-4819

Braun, DA and Ortega, PA and Wolpert, DM (2011) Motor coordination: when two have to act as one. Exp Brain Res, 211. pp. 631-641.

Cunningham, JP and Nuyujukian, P and Gilja, V and Chestek, CA and Ryu, SI and Shenoy, KV (2011) A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces. J NEUROPHYSIOL, 105. pp. 1932-1949. ISSN 0022-3077

Daw, ND and Gershman, SJ and Seymour, B and Dayan, P and Dolan, RJ (2011) Model-based influences on humans' choices and striatal prediction errors. Neuron, 69. pp. 1204-1215.

Deisenroth, MP and Rasmussen, CE (2011) PILCO: A model-based and data-efficient approach to policy search. In: 28th International Conference on Machine Learning, ICML 2011, 2011-6-28 to 2011-7-2, Bellevue, Washington, USA pp. 465-473..

Duvenaud, D and Nickisch, H and Rasmussen, CE (2011) Additive Gaussian processes. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Fiser, J and Berkes, P and Orban, G and Lengyel, M (2011) Probabilistic computation: A possible functional role for spontaneous activity in the cortex. PERCEPTION, 40. p. 53. ISSN 0301-0066

Franklin, DW and Wolpert, DM (2011) Computational mechanisms of sensorimotor control. Neuron, 72. pp. 425-442.

Franklin, DW and Wolpert, DM (2011) Feedback modulation: a window into cortical function. Curr Biol, 21. R924-R926.

Griffiths, TL and Ghahramani, Z (2011) The Indian Buffet Process: An Introduction and Review. J MACH LEARN RES, 12. pp. 1185-1224. ISSN 1532-4435

Hall, J and Rasmussen, CE and MacIejowski, J (2011) Reinforcement learning with reference tracking control in continuous state spaces. Proceedings of the IEEE Conference on Decision and Control. pp. 6019-6024. ISSN 0191-2216

Hernandez-Lobato, JM and Hernandez-Lobato, D and Suarez, A (2011) Network-based sparse Bayesian classification. PATTERN RECOGN, 44. pp. 886-900. ISSN 0031-3203

Hernandez-Lobato, JM and Suarez, A (2011) Semiparametric bivariate Archimedean copulas. COMPUT STAT DATA AN, 55. pp. 2038-2058. ISSN 0167-9473

Houlsby, N and Huszár, F and Ghahramani, Z and Lengyel, M (2011) Bayesian Active Learning for Classification and Preference Learning.

Howard, IS and Ingram, JN and Wolpert, DM (2011) Separate representations of dynamics in rhythmic and discrete movements: evidence from motor learning. J Neurophysiol, 105. pp. 1722-1731.

Howard, IS and Messum, P (2011) Modeling the development of pronunciation in infant speech acquisition. Motor Control, 15. pp. 85-117. ISSN 1087-1640

Ingram, JN and Howard, IS and Flanagan, JR and Wolpert, DM (2011) A single-rate context-dependent learning process underlies rapid adaptation to familiar object dynamics. PLoS Comput Biol, 7. e1002196-.

Ingram, JN and Wolpert, DM (2011) Naturalistic approaches to sensorimotor control. Prog Brain Res, 191. pp. 3-29.

Kadiallah, A and Liaw, G and Kawato, M and Franklin, DW and Burdet, E (2011) Impedance control is selectively tuned to multiple directions of movement. Journal of Neurophysiology, 106. pp. 2737-2748. ISSN 0022-3077

Knowles, DA and Gael, JV and Ghahramani, Z (2011) Message Passing Algorithms for the Dirichlet Diffusion Tree. In: UNSPECIFIED pp. 721-728..

Knowles, DA and Ghahramani, Z (2011) Pitman-Yor Diffusion Trees.

Lacoste-Julien, S and Huszar, F and Ghahramani, Z (2011) Approximate inference for the loss-calibrated Bayesian. Journal of Machine Learning Research - Proceedings Track, 15. pp. 416-424.

Lamperski, A and Doyle, JC (2011) On the structure of state-feedback LQG controllers for distributed systems with communication delays. In: UNSPECIFIED pp. 6901-6906..

Lengyel, M and Dayan, P and Ujfalussy, B and Pfister, JP (2011) Neuronal biophysics: optimised for information processing? In: UNSPECIFIED p. 68..

Ma, WJ and Navalpakkam, V and Beck, JM and Van den Berg, R and Pouget, A (2011) Behavior and neural basis of near-optimal visual search. Nature Neuroscience, 14. pp. 783-790.

McHutchon, A and Rasmussen, CE (2011) Gaussian Process training with input noise. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Misailovic, S and Roy, DM and Rinard, MC (2011) Probabilistically accurate program transformations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6887 L. pp. 316-333. ISSN 0302-9743

Mohamed, S and Heller, K and Ghahramani, Z (2011) Bayesian and L1 Approaches to Sparse Unsupervised Learning.

Nagengast, AJ and Braun, DA and Wolpert, DM (2011) Risk sensitivity in a motor task with speed-accuracy trade-off. J Neurophysiol, 105. pp. 2668-2674.

Nagengast, AJ and Braun, DA and Wolpert, DM (2011) Risk-sensitivity and the mean-variance trade-off: decision making in sensorimotor control. Proc Biol Sci, 278. pp. 2325-2332.

Orbanz, P (2011) Projective Limit Random Probabilities on Polish Spaces. Electronic Journal of Statistics, 5. pp. 4-1373.

Orbán, G and Wolpert, DM (2011) Representations of uncertainty in sensorimotor control. Curr Opin Neurobiol, 21. pp. 629-635.

Popovic, M and Lisitsyn, D and Lengyel, M and Fiser, J (2011) Simultaneous representation of uncertainty about multiple low-level visual elements. PERCEPTION, 40. p. 190. ISSN 0301-0066

Quadrianto, N and Lampert, CH (2011) Learning Multi-View Neighborhood Preserving Projections. In: International Conference on Machine Learning, 2011-6-28 to 2011-7-2, Bellevue, Washington, USA pp. 425-432..

Savin, C and Dayan, P and Lengyel, M (2011) Two is better than one: Distinct roles for familiarity and recollection in retrieving palimpsest memories. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Sprekeler, H (2011) On the relation of slow feature analysis and Laplacian eigenmaps. Neural Computation, 23. pp. 3287-3302. ISSN 0899-7667

Sprekeler, H and Wiskott, L (2011) A theory of slow feature analysis for transformation-based input signals with an application to complex cells. Neural Computation, 23. pp. 303-335. ISSN 0899-7667

Turner, R and Rasmussen, CE (2011) Model based learning of sigma points in unscented Kalman filtering. Neurocomputing. ISSN 0925-2312

Turner, RE and Sahani, M (2011) Demodulation as probabilistic inference. IEEE Transactions on Audio, Speech and Language Processing, 19. pp. 2398-2411. ISSN 1558-7916

Turner, RE and Sahani, M (2011) Probabilistic amplitude and frequency demodulation. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Turner, RE and Sahani, M (2011) Two problems with variational expectation maximisation for time-series models. In: Bayesian Time series models. Cambridge University Press, pp. 109-130.

Turnham, EJ and Braun, DA and Wolpert, DM (2011) Inferring visuomotor priors for sensorimotor learning. PLoS Comput Biol, 7. e1001112-.

Ujfalussy, BB and Lengyel, M (2011) Active dendrites: Adaptation to spike-based communication. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

Vogels, TP and Sprekeler, H and Zenke, F and Clopath, C and Gerstner, W (2011) Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science, 334. pp. 1569-1573. ISSN 0036-8075

Wilson, AG and Knowles, DA and Ghahramani, Z (2011) Gaussian Process Regression Networks.

Wolpert, DM and Diedrichsen, J and Flanagan, JR (2011) Principles of sensorimotor learning. Nature Reviews Neuroscience, 12. X739-751. ISSN 1471-003X

Wolpert, DM and Diedrichsen, J and Flanagan, JR (2011) Principles of sensorimotor learning. Nat Rev Neurosci, 12. pp. 739-751.

Zabih, R and Ghahramani, Z and Kang, SB and Matas, J (2011) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 33. pp. 865-866.

Zabih, R and Ghahramani, Z and Kang, SB and Matas, J (2011) Untitled. IEEE T PATTERN ANAL, 33. pp. 865-866. ISSN 0162-8828

Zabih, R and Matas, J and Ghahramani, Z (2011) State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell., 33. pp. 1-2.

2010

Adams, RP and Ghahramani, Z and Jordan, MI (2010) Tree-Structured Stick Breaking Processes for Hierarchical Data.

Adams, RP and Wallach, HM and Ghahramani, Z (2010) Learning the Structure of Deep Sparse Graphical Models. Journal of Machine Learning Research - Proceedings Track, 9. pp. 1-8.

Bratières, S and Van Gael, J and Vlachos, A and Ghahramani, Z (2010) Scaling the iHMM: Parallelization versus Hadoop. Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010. pp. 1235-1240.

Braun, DA and Mehring, C and Wolpert, DM (2010) Structure learning in action. Behav Brain Res, 206. pp. 157-165.

Braun, DA and Waldert, S and Aertsen, A and Wolpert, DM and Mehring, C (2010) Structure learning in a sensorimotor association task. PLoS One, 5. e8973-.

Braun, DA and Waldert, S and Aertsen, A and Wolpert, DM and Mehring, C (2010) Structure learning in a sensorimotor association task. PloS one, 5. ISSN 1932-6203

Carl Edward, R and Hannes, N (2010) Gaussian processes for machine learning (GPML) toolbox. Journal of Machine Learning Research, 11. pp. 3011-3015. ISSN 1533-7928

Churchland, MM and Cunningham, JP and Kaufman, MT and Ryu, SI and Shenoy, KV (2010) Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine? NEURON, 68. pp. 387-400. ISSN 0896-6273

Dilan, G and Carl Edward, R (2010) Dirichlet process gaussian mixture models: choice of the base distribution. Journal of Computer Science and Technology, 25. pp. 615-626. ISSN 1000-9000

Dimitriou, M and Edin, BB (2010) Human muscle spindles act as forward sensory models. Curr Biol, 20. pp. 1763-1767.

Fiser, J and Berkes, P and Orban, G and Lengyel, M (2010) Statistically optimal perception and learning: from behavior to neural representations. TRENDS COGN SCI, 14. pp. 119-130. ISSN 1364-6613

Fitzgerald, TH and Seymour, B and Bach, DR and Dolan, RJ (2010) Differentiable neural substrates for learned and described value and risk. Curr Biol, 20. pp. 1823-1829.

Freer, CE and Roy, DM (2010) Posterior distributions are computable from predictive distributions. Journal of Machine Learning Research, 9. pp. 233-240. ISSN 1532-4435

Frémaux, N and Sprekeler, H and Gerstner, W (2010) Functional requirements for reward-modulated spike-timing-dependent plasticity. J Neurosci, 30. pp. 13326-13337.

Hernandez-Lobato, D and Hernandez-Lobato, JM and Suarez, A (2010) Expectation Propagation for microarray data classification. PATTERN RECOGN LETT, 31. pp. 1618-1626. ISSN 0167-8655

Howard, IS and Ingram, JN and Wolpert, DM (2010) Context-dependent partitioning of motor learning in bimanual movements. J Neurophysiol, 104. pp. 2082-2091.

Ingram, JN and Howard, IS and Flanagan, JR and Wolpert, DM (2010) Multiple grasp-specific representations of tool dynamics mediate skillful manipulation. Curr Biol, 20. pp. 618-623.

Knowles, D and Ghahramani, Z (2010) Nonparametric Bayesian sparse factor models with application to gene expression modeling. Annals of Applied Statistics, 5. pp. 1534-1552.

Kurniawan, IT and Seymour, B and Talmi, D and Yoshida, W and Chater, N and Dolan, RJ (2010) Choosing to make an effort: the role of striatum in signaling physical effort of a chosen action. J Neurophysiol, 104. pp. 313-321.

Kurniawan, IT and Seymour, B and Vlaev, I and Trommershäuser, J and Dolan, RJ and Chater, N (2010) Pain relativity in motor control. Psychol Sci, 21. pp. 840-847.

Lamperski, A (2010) A neuro-inspired method for data rate limited feedback control. In: UNSPECIFIED pp. 6463-6468..

Lazaro-Gredilla, M and Quinonero-Candela, J and Rasmussen, CE and Figueiras-Vidal, AR (2010) Sparse Spectrum Gaussian Process Regression. J MACH LEARN RES, 11. pp. 1865-1881. ISSN 1532-4435

Leskovec, J and Chakrabarti, D and Kleinberg, J and Faloutsos, C and Ghahramani, Z (2010) Kronecker Graphs: An Approach to Modeling Networks. J MACH LEARN RES, 11. pp. 985-1042. ISSN 1532-4435

Lippert, C and Ghahramani, Z and Borgwardt, KM (2010) Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics, 26. pp. 912-918.

Malcolm, WP and Quadrianto, N and Aggoun, L (2010) State estimation schemes for independent component coupled hidden Markov models. Stochastic Analysis and Applications, 28. pp. 430-446. ISSN 0736-2994

Nagengast, AJ and Braun, DA and Wolpert, DM (2010) Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty. PLoS Computational Biology, 6. p. 15. ISSN 1553-734X

Nagengast, AJ and Braun, DA and Wolpert, DM (2010) Risk-sensitive optimal feedback control accounts for sensorimotor behavior under uncertainty. PLoS Comput Biol, 6. e1000857-.

Nickisch, H and Rasmussen, CE (2010) Gaussian mixture modeling with Gaussian process latent variable models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6376 L. pp. 272-282. ISSN 0302-9743

Pfister, JP and Dayan, P and Lengyel, M (2010) Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials. Nat Neurosci, 13. pp. 1271-1275.

Pine, A and Shiner, T and Seymour, B and Dolan, RJ (2010) Dopamine, Time, and Impulsivity in Humans. JOURNAL OF NEUROSCIENCE, 30. pp. 8888-8896. ISSN 0270-6474

Quadrianto, N and Kersting, K and Tuytelaars, T and Buntine, WL (2010) Beyond 2D-grids: A dependence maximization view on image browsing. MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval. pp. 339-348.

Quadrianto, N and Schuurmans, D and Smola, AJ (2010) Distributed flow algorithms for scalable similarity visualization. Proceedings - IEEE International Conference on Data Mining, ICDM. pp. 1220-1227. ISSN 1550-4786

Quadrianto, N and Smola, A and Caetano, T and Vishwanathan, SVN and Petterson, J (2010) Multitask learning without label correspondences. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010.

Quadrianto, N and Smola, AJ and Song, L and Tuytelaars, T (2010) Kernelized Sorting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32. pp. 1809-1821.

Remme, MWH and Lengyel, M and Gutkin, BS (2010) Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells. NEURON, 66. pp. 429-437. ISSN 0896-6273

Rotsos, C and Van Gael, J and Moore, AW and Ghahramani, Z (2010) Probabilistic graphical models for semi-supervised traffic classification. In: UNSPECIFIED pp. 752-757..

Saatçi, Y and Turner, R and Rasmussen, CE (2010) Gaussian process change point models. ICML 2010 - Proceedings, 27th International Conference on Machine Learning. pp. 927-934.

Savage, RS and Ghahramani, Z and Griffin, JE and de la Cruz, BJ and Wild, DL (2010) Discovering transcriptional modules by Bayesian data integration. Bioinformatics, 26. i158-i167.

Silva, R and Heller, K and Ghahramani, Z and Airoldi, EM (2010) RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS. ANN APPL STAT, 4. pp. 615-644. ISSN 1932-6157

Stegle, O and Denby, KJ and Cooke, EJ and Wild, DL and Ghahramani, Z and Borgwardt, KM (2010) A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. J Comput Biol, 17. pp. 355-367.

Tee, KP and Franklin, DW and Kawato, M and Milner, TE and Burdet, E (2010) Concurrent adaptation of force and impedance in the redundant muscle system. BIOL CYBERN, 102. pp. 31-44. ISSN 0340-1200

Teufel, C and Kingdon, A and Ingram, JN and Wolpert, DM and Fletcher, PC (2010) Deficits in sensory prediction are related to delusional ideation in healthy individuals. Neuropsychologia, 48. pp. 4169-4172.

Tootoonian, S and Laurent, G (2010) Electric times in olfaction. Neuron, 67. pp. 903-905.

Turner, R and Deisenroth, MP and Rasmussen, CE (2010) State-space inference and learning with Gaussian processes. Journal of Machine Learning Research, 9. pp. 868-875. ISSN 1532-4435

Turner, R and Rasmussen, CE (2010) Model based learning of sigma points in unscented Kalman filtering. Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010. pp. 178-183.

Turner, RE and Sahani, M (2010) Statistical inference for single- and multi-band probabilistic amplitude demodulation. In: UNSPECIFIED pp. 5466-5469..

Williamson, S and Orbanz, P and Ghahramani, Z (2010) Dependent Indian Buffet Processes. Journal of Machine Learning Research - Proceedings Track, 9. pp. 924-931.

Wilson, AG and Ghahramani, Z (2010) Copula Processes.

Wilson, AG and Ghahramani, Z (2010) Generalised Wishart Processes. Uncertainty in Artificial Intelligence (2011).

Wolpert, DM and Flanagan, JR (2010) Motor learning. Curr Biol, 20. R467-R472.

Wolpert, DM and Flanagan, JR (2010) Q&A: Robotics as a tool to understand the brain. BMC BIOL, 8. -. ISSN 1741-7007

Wolpert, DM and Flanagan, JR (2010) Q&A: Robotics as a tool to understand the brain. BMC Biol, 8. 92-.

Yoshida, W and Seymour, B and Friston, KJ and Dolan, RJ (2010) Neural mechanisms of belief inference during cooperative games. J Neurosci, 30. pp. 10744-10751.

Yu, R and Mobbs, D and Seymour, B and Calder, AJ (2010) Insula and striatum mediate the default bias. J Neurosci, 30. pp. 14702-14707.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 769.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. pp. 1345-1346.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 1729.

Zacharias, F and Howard, IS and Hulin, T and Hirzinger, G (2010) Workspace comparisons of setup configurations for human-robot interaction. IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings. pp. 3117-3122.

van den Berg, R and Roerdink, JB and Cornelissen, FW (2010) A neurophysiologically plausible population code model for feature integration explains visual crowding. PLoS Comput Biol, 6. e1000646-.

2009

Adams, R and Ghahramani, Z (2009) Archipelago: nonparametric bayesian semi-supervised learning. In: International Conference on Machine Learning, ICML 2009, 2009-6-14 to 2009-6-18, Montreal Quebec, Canada pp. 1-8..

Adams, RP and Wallach, HM and Ghahramani, Z (2009) Learning the Structure of Deep Sparse Graphical Models.

Ahmed, AA and Wolpert, DM (2009) Transfer of dynamic learning across postures. J Neurophysiol, 102. pp. 2816-2824.

Asthana, A and Goecke, R and Quadrianto, N and Gedeon, T (2009) Learning based automatic face annotation for arbitrary poses and expressions from frontal images only. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. pp. 1635-1642.

Bach, DR and Seymour, B and Dolan, RJ (2009) Neural activity associated with the passive prediction of ambiguity and risk for aversive events. J Neurosci, 29. pp. 1648-1656.

Berkes, P and Turner, RE and Sahani, M (2009) A Structured Model of Video Reproduces Primary Visual Cortical Organisation. PLoS Computational Biology, 5.

Borgwardt, KM and Ghahramani, Z (2009) Bayesian two-sample tests.

Braun, DA and Aertsen, A and Wolpert, DM and Mehring, C (2009) Learning optimal adaptation strategies in unpredictable motor tasks. J Neurosci, 29. pp. 6472-6478.

Braun, DA and Aertsen, A and Wolpert, DM and Mehring, C (2009) Motor task variation induces structural learning. Curr Biol, 19. pp. 352-357.

Braun, DA and Ortega, PA and Wolpert, DM (2009) Nash equilibria in multi-agent motor interactions. PLoS Comput Biol, 5. e1000468-.

Chu, W and Ghahramani, Z (2009) Probabilistic models for incomplete multi-dimensional arrays. In: AISTATS Twelfth International Conference on Artificial Intelligence and Statistics 2009, 2009-4-16 to 2009-4-18, Florida, USA pp. 89-96..

Dayan, P and Seymour, B (2009) Values and actions in aversion. Neuroeconomics. pp. 175-191.

Deisenroth, MP and Rasmussen, CE and Peters, J (2009) Gaussian process dynamic programming. Neurocomputing, 72. pp. 1508-1524. ISSN 0925-2312

Doshi Velez, F and Ghahramani, Z (2009) Accelerated Gibbs sampling for the Indian buffet process. In: The 26th International Conference On Machine Learning, ICML 2009, 2009-6-14 to 2009-6-18, Montreal Quebec, Canada pp. 273-280..

Doshi Velez, F and Ghahramani, Z (2009) Correlated non-parametric latent feature models. In: UAI 2009 (Conference on Uncertainty in Artificial Intelligence), 2009-6-18 to 2009-6-21, Montreal, Quebec.

Doshi-Velez, F and Ghahramani, Z (2009) Accelerated sampling for the Indian Buffet Process. In: UNSPECIFIED p. 35..

Doshi-Velez, F and Ghahramani, Z (2009) Correlated Non-Parametric Latent Feature Models. In: UNSPECIFIED pp. 143-150..

Eaton, F and Ghahramani, Z (2009) Choosing a Variable to Clamp. Journal of Machine Learning Research - Proceedings Track, 5. pp. 145-152.

Eaton, F and Ghahramani, Z (2009) Choosing a variable to clamp: approximate inference using conditioned belief propagation. In: AISTATS Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, 2009-4-16 to 2009-4-18, Florida, USA pp. 145-152..

Faisal, AA and Wolpert, DM (2009) Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task. J Neurophysiol, 101. pp. 1901-1912. ISSN 0022-3077

FitzGerald, TH and Seymour, B and Dolan, RJ (2009) The role of human orbitofrontal cortex in value comparison for incommensurable objects. J Neurosci, 29. pp. 8388-8395.

Freer, CE and Roy, DM (2009) Computable exchangeable sequences have computable de finetti measures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5635 L. pp. 218-231. ISSN 0302-9743

Görür, D and Rasmussen, CE (2009) Nonparametric mixtures of factor analyzers | Parametrik olmayan etmen çözümlemesi karişimlari. 2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009. pp. 708-711.

Howard, IS and Ingram, JN and Körding, KP and Wolpert, DM (2009) Statistics of natural movements are reflected in motor errors. J Neurophysiol, 102. pp. 1902-1910. ISSN 0022-3077

Howard, IS and Ingram, JN and Wolpert, DM (2009) A modular planar robotic manipulandum with end-point torque control. J Neurosci Methods, 181. pp. 199-211.

Huckvale, M and Howard, IS and Fagel, S (2009) KLAIR: A virtual infant for spoken language acquisition research. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. pp. 696-699. ISSN 1990-9772

Lamperski, A (2009) Representations and algorithms for finite-state bisimulations of linear discrete-time control systems. In: UNSPECIFIED pp. 51-56..

Lippert, C and Stegle, O and Ghahramani, Z and Borgwardt, K (2009) A kernel method for unsupervised structured network inference. In: JMLR: Workshop and Conference Proceedings Vol.5: 12th International Conference on Artificial Intelligence and Statistics, AISTATS 2009, 2009-4-16 to 2009-4-18, Florida, USA pp. 368-375..

Lücke, J and Turner, RE and Sahani, M and Henniges, M (2009) Occlusive Components Analysis. In: Advances in Neural Information Processing Systems 22. UNSPECIFIED, pp. 1069-1077.

Mansinghka, V and Roy, D and Jonas, E and Tenenbaum, J (2009) Exact and approximate sampling by systematic stochastic search. Journal of Machine Learning Research, 5. pp. 400-407. ISSN 1532-4435

Mobbs, D and Hassabis, D and Seymour, B and Marchant, JL and Weiskopf, N and Dolan, RJ and Frith, CD (2009) Choking on the Money: Reward-Based Performance Decrements Are Associated With Midbrain Activity. PSYCHOLOGICAL SCIENCE, 20. pp. 955-962. ISSN 0956-7976

Mobbs, D and Marchant, JL and Hassabis, D and Seymour, B and Tan, G and Gray, M and Petrovic, P and Dolan, RJ and Frith, CD (2009) From Threat to Fear: The Neural Organization of Defensive Fear Systems in Humans. JOURNAL OF NEUROSCIENCE, 29. pp. 12236-12243. ISSN 0270-6474

Mobbs, D and Yu, R and Meyer, M and Passamonti, L and Seymour, B and Calder, AJ and Schweizer, S and Frith, CD and Dalgleish, T (2009) A key role for similarity in vicarious reward. Science, 324. 900-.

Mohamed, S and Doshi Velez, F and Knowles, D and Ghahramani, Z (2009) Large scale nonparametric Bayesian inference:data parallelisation an the Indian buffet process. In: NIPS 2009 Neural Information Processing Systems Conference, 2009-12-7 to 2009-12-12, Vancouver, Canada.

Nagengast, AJ and Braun, DA and Wolpert, DM (2009) Optimal control predicts human performance on objects with internal degrees of freedom. PLoS Comput Biol, 5. e1000419-.

Orbanz, P (2009) Construction of nonparametric Bayesian models from parametric Bayes equations. In: UNSPECIFIED pp. 1392-1400..

Pfister, J-P and Dayan, P and Lengyel, M (2009) Know thy neighbour: A normative theory of synaptic depression. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. pp. 1464-1472.

Pfister, JP and Lengyel, M (2009) Speed versus accuracy in spiking attractor networks. In: Computational and Systems Neuroscience 2009, COSYNE 09, 2009-2-26 to 2009-3-1, Salt Lake City, Utah, USA.

Pine, A and Seymour, B and Roiser, JP and Bossaerts, P and Friston, KJ and Curran, HV and Dolan, RJ (2009) Encoding of marginal utility across time in the human brain. J Neurosci, 29. pp. 9575-9581.

Quadrianto, N and Caetano, TS and Lim, J and Schuurmans, D (2009) Convex relaxation of mixture regression with efficient algorithms. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. pp. 1491-1499.

Quadrianto, N and Kersting, K and Reid, MD and Caetano, TS and Buntine, WL (2009) Kernel conditional quantile estimation via reduction revisited. Proceedings - IEEE International Conference on Data Mining, ICDM. pp. 938-943. ISSN 1550-4786

Quadrianto, N and Petterson, J and Smola, AJ (2009) Distribution matching for transduction. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. pp. 1500-1508.

Quadrianto, N and Smola, AJ and Caetano, TS and Le, QV (2009) Estimating Labels from Label Proportions. Journal of Machine Learning Research, 10. pp. 2349-2374.

Quadrianto, N and Song, L and Smola, AJ (2009) Kernelized sorting. Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. pp. 1289-1296.

Remme, MWH and Lengyel, M and Gutkin, BS (2009) The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics. PLOS COMPUT BIOL, 5. -. ISSN 1553-734X

Resulaj, A and Kiani, R and Wolpert, DM and Shadlen, MN (2009) Changes of mind in decision-making. Nature, 461. pp. 263-266.

Roiser, JP and de Martino, B and Tan, GC and Kumaran, D and Seymour, B and Wood, NW and Dolan, RJ (2009) A genetically mediated bias in decision making driven by failure of amygdala control. J Neurosci, 29. pp. 5985-5991.

Roy, DM and Teh, YW (2009) The Mondrian process. Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. pp. 1377-1384.

Savage, R and Heller, KA and Xu, Y and Ghahramani, Z and Truman, W and Grant, M and Denby, K and Wild, DL (2009) R/BHC: fast Bayesian hierarchical clustering for microarray data. BMC Bioinformatics 2009, 10. ISSN 1471-2105

Selen, LP and Franklin, DW and Wolpert, DM (2009) Impedance control reduces instability that arises from motor noise. J Neurosci, 29. pp. 12606-12616.

Seymour, B and Yoshida, W and Dolan, R (2009) Altruistic learning. Front Behav Neurosci, 3. 23-.

Silva, R and Ghahramani, Z (2009) Factorial mixture of gaussians and the marginal independence model. In: Twelfth International Conference on Artificial Intelligence and Statistics, AISTATS 09, 2009-4-16 to 2009-4-18, Florida, USA pp. 520-527..

Silva, R and Ghahramani, Z (2009) The hidden life of latent variables: Bayesian learning with mixed graph models. Journal of Machine Learning Research, 10. pp. 1187-1238. ISSN 1532-4435

Sprekeler, H and Hennequin, G and Gerstner, W (2009) Code-specific policy gradient rules for spiking neurons. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. pp. 1741-1749.

Stegle, O and Denby, K and McHattie, S and Meade, A and Wild, D and Ghahramani, Z and Borgwardt, K (2009) Discovering temporal patterns of differential gene expression in microarray time series. In: German Conference on Bioinformatics, 2009-9-28 to 2009-9-30, Martin Luther University, Halle-Wittenberg, Germany pp. 133-142..

Stegle, O and Denby, K and Wild, DL and Ghahramani, Z (2009) A robust bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: 13th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2009, 2009-5-18 to 2009-5-21, Tucson, Arizona.

Stegle, O and Denby, K and Wild, DL and Ghahramani, Z and Borgwardt, KM (2009) A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. In: UNSPECIFIED pp. 201-216..

Stepleton, T and Ghahramani, Z and Gordon, G and Lee, TS (2009) The block diagonal infinite hidden markov model. In: AISTATS Twelfth International Conference on Artificial Intelligence and Statistics 2009, 2009-4-16 to 2009-4-18, Florida, USA pp. 552-559..

Teh, YW and Daumé III, H and Roy, D (2009) Bayesian agglomerative clustering with coalescents. Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.

Turner, RE and Walters, TC and Monaghan, JJM and Patterson, RD (2009) A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data. J ACOUST SOC AM, 125. pp. 2374-2386. ISSN 0001-4966

Van Gael, J and Vlachos, A and Ghahramani, Z (2009) The infinite HMM for unsupervised PoS tagging. EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009. pp. 678-687.

Vlachos, A and Korhonen, A and Ghahramani, Z (2009) Unsupervised and constrained dirichlet process mixture models for verb clustering. In: 4th Workshop on Statistical Machine Translation, EACL' 09, 2009-3-30 to 2009-4-3, Athens, Greece.

Vlaev, I and Seymour, B and Dolan, RJ and Chater, N (2009) The price of pain and the value of suffering. Psychol Sci, 20. pp. 309-317.

Wingate, D and Goodman, ND and Roy, DM and Tenenbaum, JB (2009) The Infinite Latent Events Model. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. pp. 607-614.

Wongpiromsarn, T and Mitra, S and Murray, RM and Lamperski, A (2009) Periodically controlled hybrid systems verifying a controller for an autonomous vehicle. In: UNSPECIFIED pp. 396-410..

Xu, Y and Heller, KA and Ghahramani, Z (2009) Tree-based inference for dirichlet process mixtures. In: AISTATS Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS)2009, 2009-4-16 to 2009-4-18, Florida USA pp. 623-630..

Zabih, R and Ghahramani, Z and Matas, J (2009) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 31. pp. 961-963.

Zabih, R and Matas, J and Ghahramani, Z (2009) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 31. pp. 1345-1346.

van Gael, J and Vlachos, A and Ghahramani, Z (2009) The infinite HMM for unsupervised POS tagging. In: EMNLP 2009: Empirical Methods in Natural Language Processing, 2009-8-6 to 2009-8-7, Suntec City, Singapore.

van den Berg, R and Cornelissen, FW and Roerdink, JB (2009) A crowding model of visual clutter. J Vis, 9. 24.1-2411.

2008

Ahmed, AA and Wolpert, DM and Flanagan, JR (2008) Flexible representations of dynamics are used in object manipulation. Current Biology, 18. pp. 763-768. ISSN 0960-9822

Ahmed, AA and Wolpert, DM and Flanagan, JR (2008) Flexible representations of dynamics are used in object manipulation. Curr Biol, 18. pp. 763-768. ISSN 0960-9822

Berkes, P and Turner, RE and Sahani, M (2008) On sparsity and overcompleteness in image models. In: UNSPECIFIED.

Brown, CA and Seymour, B and Boyle, Y and El-Deredy, W and Jones, AK (2008) Modulation of pain ratings by expectation and uncertainty: Behavioral characteristics and anticipatory neural correlates. Pain, 135. pp. 240-250.

Brown, CA and Seymour, B and El-Deredy, W and Jones, AK (2008) Confidence in beliefs about pain predicts expectancy effects on pain perception and anticipatory processing in right anterior insula. Pain, 139. pp. 324-332.

Creutzig, F and Sprekeler, H (2008) Predictive coding and the slowness principle: an information-theoretic approach. Neural Comput, 20. pp. 1026-1041. ISSN 0899-7667

Deisenroth, MP and Peters, J and Rasmussen, CE (2008) Approximate dynamic programming with Gaussian processes. In: UNSPECIFIED pp. 4480-4485..

Deisenroth, MP and Peters, J and Rasmussen, CE (2008) Approximate dynamic programming with gaussian processes. In: American Control Conference 2008, ACC'08, 2008-6-11 to 2008-6-13, Seattle, Washington, USA.

Deisenroth, MP and Rasmussen, CE and Peters, J (2008) Model-based reinforcement learning with continuous states and actions. In: European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning (ESANN) 2008, 2008-4-23 to 2008-4-25, Bruges, Belgium.

Faisal, AA and Selen, LP and Wolpert, DM (2008) Noise in the nervous system. Nature Reviews Neuroscience, 9. pp. 292-303. ISSN 1471-003X

Franklin, DW and Burdet, E and Tee, KP and Osu, R and Chew, CM and Milner, TE and Kawato, M (2008) CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm. J NEUROSCI, 28. pp. 11165-11173. ISSN 0270-6474

Franklin, DW and So, U and Osu, R and Kawato, M (2008) Conflicting visual and proprioceptive reflex responses during reaching movements. In: UNSPECIFIED pp. 1002-1011..

Franklin, DW and So, U and Osu, R and Kawato, M (2008) An involuntary muscular response induced by perceived visual errors in hand position. In: UNSPECIFIED pp. 1012-1020..

Franklin, DW and Wolpert, DM (2008) Specificity of reflex adaptation for task-relevant variability. J Neurosci, 28. pp. 14165-14175.

Gael, JV and Teh, YW and Ghahramani, Z (2008) The Infinite Factorial Hidden Markov Model. In: UNSPECIFIED pp. 1697-1704..

Ghahramani, Z (2008) Bayesian Methods for Artificial Intelligence and Machine Learning. In: UNSPECIFIED p. 8..

Goodman, ND and Mansinghka, VK and Roy, D and Bonawitz, K and Tenenbaum, JB (2008) Church: A language for generative models. Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008. pp. 220-229.

Hannes, N and C E, R (2008) Approximations for Binary Gaussian Process Classification. Journal of Machine Learning Research, 9. pp. 2035-2078. ISSN 1532-4435

Heller, KA and Williamson, S and Ghahramani, Z (2008) Statistical models for partial membership. In: UNSPECIFIED pp. 392-399..

Heller, KA and Williamson, SA and Ghahramani, Z (2008) Statistical models for partial membership. In: 25th International Conference on Machine Learning, 2008-7-5 to 2008-7-9, Helsinki, Finland pp. 329-339..

Hernandez-Lobato, D and Hernandez-Lobato, JM (2008) Bayes Machines for binary classification. PATTERN RECOGN LETT, 29. pp. 1466-1473. ISSN 0167-8655

Howard, IS and Ingram, JN and Wolpert, DM (2008) Composition and decomposition in bimanual dynamic learning. J Neurosci, 28. pp. 10531-10540.

Huebler, C and Borgwardt, K and Kriegel, HP and Ghahramani, Z (2008) Metropolis algorithms for representative subgraph sampling. In: 8th IEEE International Conference on Data Mining, ICDM' 08, 2008-12-15 to 2008-12-19, Pisa, Italy pp. 283-292..

Ingram, JN and Kording, KP and Howard, IS and Wolpert, DM (2008) The statistics of natural hand movements. Experimental Brain Research, 188. pp. 223-236. ISSN 0014-4819

Kadiallah, A and Liaw, G and Burdet, E and Kawato, M and Franklin, DW (2008) Impedance control is tuned to multiple directions of movement. In: UNSPECIFIED pp. 5358-5361..

Kim, H and Ghahramani, Z (2008) Outlier robust gaussian process classification. In: 7th International Workshop on Statistical Pattern Recognition, SPR' 08, 2008-- to --, Orlando, USA pp. 896-905..

Kriegman, DJ and Fleet, D and Ghahramani, Z (2008) Introduction of new associate editors. IEEE T PATTERN ANAL, 30. p. 561. ISSN 0162-8828

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 193-194.

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 1505-1506.

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 2065-2066.

Lamperski, A and Ames, AD (2008) On the existence of Zeno behavior in hybrid systems with non-isolated zeno equilibria. In: UNSPECIFIED pp. 2776-2781..

Lamperski, A and Ames, AD (2008) Sufficient conditions for zeno behavior in lagrangian hybrid systems. In: UNSPECIFIED pp. 622-625..

Latham, PE and Lengyel, M (2008) Phase coding: Spikes get a boost from local fields. CURR BIOL, 18. R349-R351. ISSN 0960-9822

Lee, J and Sponberg, SN and Loh, OY and Lamperski, AG and Full, RJ and Cowan, NJ (2008) Templates and anchors for antenna-based wall following in cockroaches and robots. IEEE Transactions on Robotics, 24. pp. 130-143. ISSN 1552-3098

Lengyel, M and Dayan, P (2008) Hippocampal contributions to control: the third way. In: 21st Annual Conference on Neural Information Processing Systems, 2008-12-3 to 2008-12-6, Vancouver, Canada.

Liaw, G and Franklin, DW and Burdet, E and Kadi-Allah, A and Kawato, M (2008) Reflex contributions to the directional tuning of arm stiffness. In: UNSPECIFIED UNSPECIFIED, pp. 913-922.

Moh, Y and Orbanz, P and Buhmann, JM (2008) Music preference learning with partial information. In: UNSPECIFIED pp. 2021-2024..

Mohamed, S and Heller, KA and Ghahramani, Z (2008) Bayesian Exponential Family PCA. In: UNSPECIFIED pp. 1089-1096..

Mohamed, S and Heller, KA and Ghahramani, Z (2008) Bayesian exponential family PCA. In: NIPS 2009 Neural Information Processing Systems Conference, 2008-12-8 to 2008-12-10, Vancouver, Canada -..

Orban, G and Fiser, J and Aslin, RN and Lengyel, M (2008) Bayesian learning of visual chunks by human observers. Proceedings of the National Academy of Sciences USA, 105. pp. 2745-2750. ISSN 0027-8424

Orbanz, P and Buhmann, JM (2008) Nonparametric Bayesian image segmentation. INT J COMPUT VISION, 77. pp. 25-45. ISSN 0920-5691

Petrovic, P and Pleger, B and Seymour, B and Klöppel, S and De Martino, B and Critchley, H and Dolan, RJ (2008) Blocking central opiate function modulates hedonic impact and anterior cingulate response to rewards and losses. J Neurosci, 28. pp. 10509-10516.

Quadrianto, N and Smola, AJ and Caetano, TS and Le, QV (2008) Estimating labels from label proportions. Proceedings of the 25th International Conference on Machine Learning. pp. 776-783.

Rasmussen, CE and Deisenroth, MP (2008) Probabilistic inference for fast learning in control. In: Recent Advances in Reinforcement Learning. Lecture Notes in Computer Science, subseries: Lecture Notes in Artificial Intelligence . Springer, pp. 229-242.

Rasmussen, CE and de la Cruz, BJ and Ghahramani, Z and Wild, DL (2008) Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6. pp. 615-628. ISSN 1545-5963

Seymour, B and Dolan, R (2008) Emotion, decision making, and the amygdala. NEURON, 58. pp. 662-671. ISSN 0896-6273

Seymour, B and McClure, SM (2008) Anchors, scales and the relative coding of value in the brain. Curr Opin Neurobiol, 18. pp. 173-178. ISSN 0959-4388

Sung, JM and Ghahramani, Z and Bang, SY (2008) Latent space variational bayes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30. pp. 2236-2242. ISSN 0162-8828

Sung, JM and Ghahramani, Z and Bang, SY (2008) Second-order latent space variational bayes for approximate bayesian inference. IEEE Signal Processing Letters, 15. pp. 918-921. ISSN 1070-9908

Talmi, D and Seymour, B and Dayan, P and Dolan, RJ (2008) Human pavlovian-instrumental transfer. J Neurosci, 28. pp. 360-368.

Turner, RE and Sahani, M (2008) Modeling natural sounds with modulation cascade processes. In: UNSPECIFIED.

Vlachos, A and Ghahramani, Z and Korhonen, A (2008) Dirichlet process mixture models for verb clustering. In: Workshop on Prior Knowledge for Text and Language Processing, 2008-7-9 to --, Helsinki, Finland.

Voss, M and Ingram, JN and Wolpert, DM and Haggard, P (2008) Mere expectation to move causes attenuation of sensory signals. PLoS ONE, 3. ISSN 1932-6203

Williamson, S and Ghahramani, Z (2008) Probabilistic models for data combination in recommender systems. In: Learning from Multiple Sources Workshop, 2008-12-8 to 2008-12-12, Vancouver and Whistler, British Columbia, Canada.

Wittmann, BC and Daw, ND and Seymour, B and Dolan, RJ (2008) Striatal activity underlies novelty-based choice in humans. Neuron, 58. pp. 967-973.

Zhang, J and Ghahramani, Z and Yang, Y (2008) Flexible latent variable models for multi-task learning. Machine Learning, 73. pp. 221-242. ISSN 0885-6125

Zhang, J and Ghahramani, Z and Yang, YM (2008) Flexible latent variable models for multi-task learning. MACH LEARN, 73. pp. 221-242. ISSN 0885-6125

van Gael, J and Saatci, Y and Teh, YW and Ghahramani, Z (2008) Beam sampling for the infinite hidden markov model. In: 25th International Conference on Machine Learning, 2008-7-5 to 2008-7-9, Helsinki, Finland pp. 1088-1095..

van Gael, J and Teh, YW and Ghahramani, Z (2008) The infinite factorial hidden markov model. In: 22nd Annual Conference on Neural Information Processing Systems, NIPS 2008, 2008-12-8 to 2008-12-12, Vancouver and Whistler, British Columbia, Canada -..

2007

(2007) Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007. In: UNSPECIFIED.

Bays, PM and Wolpert, DM (2007) Computational principles of sensorimotor control that minimize uncertainty and variability. Journal of Physiology, 578. pp. 387-396. ISSN 0022-3751

Braun, DA and Wolpert, DM (2007) Optimal control: when redundancy matters. Curr Biol, 17. R973-R975. ISSN 0960-9822

Busse, LM and Orbanz, P and Buhmann, JM (2007) Cluster analysis of heterogeneous rank data. In: UNSPECIFIED pp. 113-120..

Chu, W and Ghahramani, Z and Krause, R and Wild, DL (2007) Identifying protein complexes from high-throughput protein interaction screens. In: 17th Annual Mathematical and Statistical Aspects of Molecular Biology Workshop, 2007-3- to --, Manchester, UK.

Fiser, J and Orban, G and Aslin, RN and Lengyel, M (2007) Ideal Bayesian learning in human scene perception. In: Computational and Systems Neuroscience (Cosyne 2007), 2007-2-22 to 2007-2-25, Salt Lake City, Utah.

Franklin, DW and Liaw, G and Milner, TE and Osu, R and Burdet, E and Kawato, M (2007) Endpoint stiffness of the arm is directionally tuned to instability in the environment. J NEUROSCI, 27. pp. 7705-7716. ISSN 0270-6474

Franklin, DW and Milner, TE and Kawato, M (2007) Single trial learning of external dynamics: What can the brain teach us about learning mechanisms? In: UNSPECIFIED UNSPECIFIED, pp. 67-70.

Franklin, DW and So, U and Burdet, E and Kawato, M (2007) Visual Feedback Is Not Necessary for the Learning of Novel Dynamics. PLOS ONE, 2. -. ISSN 1932-6203

Franzius, M and Sprekeler, H and Wiskott, L (2007) Slowness and sparseness lead to place, head-direction, and spatial-view cells. PLoS Comput Biol, 3. e166-.

Ganesh, G and Franklin, DW and Gassert, R and Imamizu, H and Kawato, M (2007) Accurate real-time feedback of surface EMG during fMRI. J Neurophysiol, 97. pp. 912-920. ISSN 0022-3077

Hamilton, AF and Joyce, DW and Flanagan, JR and Frith, CD and Wolpert, DM (2007) Kinematic cues in perceptual weight judgement and their origins in box lifting. Psychological Research, 71. pp. 13-21. ISSN 0340-0727

Heller, KA and Ghahramani, Z (2007) A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. Journal of Machine Learning Research - Proceedings Track, 2. pp. 187-194.

Heller, KA and Ghahramani, Z (2007) A nonparametric Bayesian approach to modeling overlapping clusters. In: Eleventh International Conference on Artifical Intelligence and Statistics (AISTATS), 2007-3- to --, San Juan, PR, US.

Hernandez-Lobato, JM and Hernandez-Lobato, D and Suarez, A (2007) GARCH processes with non-parametric innovations for market risk estimation. In: UNSPECIFIED pp. 718-727..

Knowles, D and Ghahramani, Z (2007) Infinite sparse factor analysis and infinite independent components analysis. In: 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007), 2007-9- to --, London, UK pp. 381-388..

Lamperski, A and Ames, AD (2007) Lyapunov-like conditions for the existence of zeno behavior in hybrid and lagrangian hybrid systems. In: UNSPECIFIED pp. 115-120..

Lengyel, M and Dayan, P (2007) Back to the future: episodic memories for control. In: Neural Coding, Computation and Dynamics, 2007-9-15 to 2007-9-18, Hossegor, France.

Lengyel, M and Dayan, P (2007) Hippocampal contributions to control – a normative theory. In: 3rd Computational and Systems Neuroscience Conference (Cosyne 2007), 2007-2-22 to 2007-2-25, Salt Lake City, Utah.

Lengyel, M and Dayan, P (2007) Uncertainty, phase and oscillatory hippocampal recall. In: Advances in Neural Information Processing Systems. Massachusets Institute of Technology Press, Cambridge, MA.

Milner, TE and Franklin, DW and Imamizu, H and Kawato, M (2007) Central control of grasp: Manipulation of objects with complex and simple dynamics. NEUROIMAGE, 36. pp. 388-395. ISSN 1053-8119

Milner, TE and Hinder, MR and Franklin, DW (2007) How is somatosensory information used to adapt to changes in the mechanical environment? Prog Brain Res, 165. pp. 363-372. ISSN 0079-6123

Mobbs, D and Petrovic, P and Marchant, JL and Hassabis, D and Weiskopf, N and Seymour, B and Dolan, RJ and Frith, CD (2007) When fear is near: threat imminence elicits prefrontal-periaqueductal gray shifts in humans. Science, 317. pp. 1079-1083.

Orban, G and Fiser, J and Lengyel, M (2007) V1 activity as Bayesian inference. In: Computational and Systems Neuroscience (Cosyne 2007), 2007-2-22 to 2007-2-25, Salt Lake City, Utah.

Orbanz, P and Braendle, S and Buhmann, JM (2007) Bayesian order-adaptive clustering for video segmentation. In: UNSPECIFIED pp. 334-349..

Perez Cruz, F and Ghahramani, Z and Pontil, M (2007) Kernel conditional graphical models. In: Predicting Structured Data. MIT Press, Cambridge, MA, USA, pp. 265-282.

Podtelezhnikov, AA and Ghahramani, Z and Wild, DA (2007) Learning about protein hydrogen bonding by minimizing contrastive divergence. Proteins: Structure, Function, and Bioinformatics, 66. pp. 588-599. ISSN 0887-3585

Quiñonero Candela, J and Rasmussen, CE and Williams, CKI (2007) Approximation methods for Gaussian process regression. In: Large-Scale Kernel Machines. Neural Information Processing series . MIT Press, Cambridge, Massachusetts, USA, pp. 203-224.

Roy, DM and Kemp, C and Mansinghka, VK and Tenenbaum, JB (2007) Learning annotated hierarchies from relational data. Advances in Neural Information Processing Systems. pp. 1185-1192. ISSN 1049-5258

Seymour, B (2007) Research loses in hasty changes to medical training. Nature, 446. 492-.

Seymour, B and Daw, N and Dayan, P and Singer, T and Dolan, R (2007) Differential encoding of losses and gains in the human striatum. J Neurosci, 27. pp. 4826-4831.

Seymour, B and Singer, T and Dolan, R (2007) The neurobiology of punishment. Nat Rev Neurosci, 8. pp. 300-311. ISSN 1471-003X

Silva, R and Chu, W and Ghahramani, Z (2007) Hidden common cause relations in relational learning. In: 21st Annual Conference on Neural Information Processing Systems, 2007-12-3 to 2007-12-6, Vancouver, Canada -..

Silva, R and Heller, KA and Ghahramani, Z (2007) Analogical Reasoning with Relational Bayesian Sets. Journal of Machine Learning Research - Proceedings Track, 2. pp. 500-507.

Silva, R and Heller, KA and Ghahramani, Z (2007) Analogical reasoning with relational Bayesian sets. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), 2007-3- to --, San Juan, PR, US.

Snelson, E and Ghahramani, Z (2007) Local and global sparse Gaussian process approximations. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), 2007-3- to --, San Juan, PR, US.

Snelson, E and Ghahramani, Z (2007) Local and global sparse Gaussian process approximations. Journal of Machine Learning Research - Proceedings Track, 2. pp. 524-531.

Sonnenburg, S and Braun, ML and Ong, CS and Bengio, S and Bottou, L and Holmes, G and LeCun, Y and Müller, KR and Pereira, F and Rasmussen, CE and Rätch, G and Schölkopf, B and Smola, A and Vincent, P and Weston, J and Williamson, RC (2007) The need for open source software in machine learning. Jounal of Machine Learning Research, 8. pp. 2443-2466. ISSN 1533-7928

Sprekeler, H and Michaelis, C and Wiskott, L (2007) Slowness: an objective for spike-timing-dependent plasticity? PLoS Comput Biol, 3. e112-.

Teh, YW and Ghahramani, Z (2007) Stick-breaking construction for the Indian buffet. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), 2007-3- to --, San Juan, PR, US.

Teh, YW and Görür, D and Ghahramani, Z (2007) Stick-breaking Construction for the Indian Buffet Process. Journal of Machine Learning Research - Proceedings Track, 2. pp. 556-563.

Tscheang, L and Bays, PM and Ingram, JN and Wolpert, DM (2007) Simultaneous bimanual dynamics are learned without interference. Experimental Brain Research, 1. pp. 17-25. ISSN 0014-4819

Turner, RE and Sahani, M (2007) A Maximum-Likelihood Interpretation for Slow Feature Analysis. Neural Computation, 19. pp. 1022-1038. ISSN 0899-7667

Turner, RE and Sahani, M (2007) Probabilistic Amplitude Demodulation. In: UNSPECIFIED pp. 544-551..

Ujfalussy, B and Kiss, T and Orbán, G and Hoffmann, WE and Erdi, P and Hajós, M (2007) Pharmacological and computational analysis of alpha-subunit preferential GABA(A) positive allosteric modulators on the rat septo-hippocampal activity. Neuropharmacology, 52. pp. 733-743.

Voss, M and Bays, PM and Rothwell, JC and Wolpert, DM (2007) An improvement in perception of self-generated tactile stimuli following theta-burst stimulation of primary motor cortex. Neuropsychologia, 45. pp. 2712-2717. ISSN 0028-3932

Witney, AG and Wolpert, DM (2007) The effect of externally generated loading on predictive grip force modulation. Neuroscience Letters, 414. pp. 10-15. ISSN 0304-3940

Wolpert, DM (2007) Probabilistic models in human sensorimotor control. Human Movement Science, 26. pp. 511-524. ISSN 0167-9457

van den Berg, R and Roerdink, JB and Cornelissen, FW (2007) On the generality of crowding: visual crowding in size, saturation, and hue compared to orientation. J Vis, 7. 14.1-1411.

2006

Azran, A and Ghahramani, Z (2006) Spectral Methods for Automatic Multiscale Data Clustering. In: UNSPECIFIED pp. 190-197..

Azran, A and Ghahramani, Z (2006) Spectral methods for automatic multiscale data clustering. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006-6-17 to 2006-6-22, New York, US -..

Azran, A and Ghahramani, Z (2006) A new approach to data driven clustering. In: The 23rd International Conference on Machine learning; ICML 2006, 2006-8- to --, Pittsburgh, PA, US pp. 57-64..

Bays, PM and Flanagan, JR and Wolpert, DM (2006) Attenuation of self-generated tactile sensations is predictive, not postdictive. PLoS Biology, 4. pp. 281-284. ISSN 1544-9173

Bays, PM and Flanagan, JR and Wolpert, DM (2006) Attenuation of self-generated tactile sensations is predictive, not postdictive. PLoS Biol, 4. e28-.

Bays, PM and Wolpert, DM (2006) Actions and consequences in bimanual interaction are represented in different coordinate systems. Journal of Neuroscience, 26. pp. 7121-7126. ISSN 0270-6474

Beal, M and Ghahramani, Z (2006) The variational Kalman smoother. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Beal, MJ and Ghahramani, Z (2006) Variational Bayesian learning of directed graphical models with hidden variables. Bayesian Analysis, 1. pp. 793-832. ISSN 1936-0975

Burdet, E and Tee, KP and Mareels, I and Milner, TE and Chew, CM and Franklin, DW and Osu, R and Kawato, M (2006) Stability and motor adaptation in human arm movements. BIOL CYBERN, 94. pp. 20-32. ISSN 0340-1200

Carter, RM and O'Doherty, JP and Seymour, B and Koch, C and Dolan, RJ (2006) Contingency awareness in human aversive conditioning involves the middle frontal gyrus. Neuroimage, 29. pp. 1007-1012. ISSN 1053-8119

Chu, W and Ghahramani, Z and Krause, R and Wild, DL (2006) Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model. In: The Pacific Symposium Biocomputing 2006, 2006-1-3 to 2006-1-7, Hawaii, HI, US pp. 231-242..

Chu, W and Ghahramani, Z and Wild, DL (2006) Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3. pp. 98-113. ISSN 1545-5963

Chu, W and Keerthi, SS and Ong, CJ and Ghahramani, Z (2006) Bayesian support vector machines for feature ranking and selection. In: Feature Extraction, Foundations and Applications. Studies in Fuzziness and Soft Computing, 207 . Springer, pp. 403-416.

Chu, W and Sindhwani, V and Keerthi, S and Ghahramani, Z (2006) Relational learning with Gaussian processes. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 2006-12-4 to 2006-12-7, Vancouver, Canada pp. 289-296..

Daw, ND and O'Doherty, JP and Dayan, P and Seymour, B and Dolan, RJ (2006) Cortical substrates for exploratory decisions in humans. Nature, 441. pp. 876-879.

Dayan, P and Niv, Y and Seymour, B and Daw, ND (2006) The misbehavior of value and the discipline of the will. Neural Netw, 19. pp. 1153-1160. ISSN 0893-6080

De Martino, B and Kumaran, D and Seymour, B and Dolan, RJ (2006) Frames, biases, and rational decision-making in the human brain. Science, 313. pp. 684-687.

Diamond, ME and Rizzolatti, G and Haggard, P and Scott, SH and Logothetis, NK and Treves, A and Sparks, DL and Gold, JI and Schall, JD and Derdikman, D and Albright, TD and Barash, S and Hasson, U and Harris, JA and Wolpert, DM and Ditterich, J and Krubitzer, L and Dehaene, S (2006) Final general discussion. Novartis Foundation Symposium, 270. pp. 285-292. ISSN 1528-2511

Franklin, DW and Burdet, E and Osu, R and So, U and Tee, KP and Milner, TE and Kawato, M (2006) Learning the dynamics of the external world: Brain inspired learning for robotic applications. In: UNSPECIFIED UNSPECIFIED, pp. 109-112.

Ghahramani, Z and Griffiths, TL and Sollich, P (2006) Bayesian nonparametric latent feature models (with discussion). In: 8th Valencia International Meeting on Bayesian Statistics, 2006-6-2 to 2006-6-6, Benidorm, Alicante, Spain -..

Ghahramani, Z and Heller, KA (2006) Bayesian sets. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 435-442.

Gorur, D and Jakel, F and Rasmussen, CE (2006) A choice model with infinitely many latent features. In: The 23rd International Conference on Machine Learning; ICML 2006, 2006-8- to --, Pittsburgh, PA, USA pp. 361-368..

Griffiths, TL and Ghahramani, Z (2006) Infinite latent feature models and the Indian buffet process. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 475-482.

Hamilton, AF and Wolpert, DM and Frith, U and Grafton, ST (2006) Where does your own action influence your perception of another person's action in the brain? Neuroimage, 29. pp. 524-535. ISSN 1053-8119

Hannus, A and van den Berg, R and Bekkering, H and Roerdink, JB and Cornelissen, FW (2006) Visual search near threshold: Some features are more equal than others. J Vis, 6. pp. 523-540.

Harris, CM and Wolpert, DM (2006) The main sequence of saccades optimizes speed-accuracy trade-off. Biological Cybernetics, 95. pp. 21-29. ISSN 0340-1200

Heller, KA and Ghahramani, Z (2006) Bayesian Hierarchical clustering. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Heller, KA and Ghahramani, Z (2006) A Bayesian approach to information retrieval from sets of items. In: 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering CNRS, 2006-7-8 to 2006-7-13, Paris, France.

Heller, KA and Ghahramani, Z (2006) Efficient Bayesian hierarchical clustering for gene expression data. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 2006-6-1 to 2006-6-6, Benidorm, Spain.

Heller, KA and Ghahramani, Z (2006) A Simple Bayesian Framework for Content-Based Image Retrieval. In: UNSPECIFIED pp. 2110-2117..

Heller, KA and Ghahramani, Z (2006) A simple Bayesian framework for content-based image retrieval. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006-6-17 to 2006-6-22, New York, US -..

Hernandez-Lobato, D and Hernandez-Lobato, JM and Ruiz-Torrubiano, R and Valle, A (2006) Pruning adaptive boosting ensembles by means of a genetic algorithm. In: UNSPECIFIED pp. 322-329..

Hernandez-Lobato, JM and Suarez, A (2006) Competitive and collaborative mixtures of experts for financial risk analysis. In: UNSPECIFIED pp. 691-700..

KIM, HC and Ghahramani, Z (2006) Bayesian gaussian process classification with the EM-EP algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28. pp. 1948-1959. ISSN 0162-8828

Kalisch, R and Korenfeld, E and Stephan, KE and Weiskopf, N and Seymour, B and Dolan, RJ (2006) Context-dependent human extinction memory is mediated by a ventromedial prefrontal and hippocampal network. J Neurosci, 26. pp. 9503-9511.

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Appearance-based gender classification with Gaussian processes. Pattern Recognition Letters, 27. pp. 618-626. ISSN 0167-8655

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Gender classification with Bayesian kernel methods. In: 2006 International Joint Conference on Neural Networks (IJCNN), 2006-7-16 to 2006-7-21, Vancouver, BC, Canada.

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Gender classification with Bayesian kernel methods. In: UNSPECIFIED pp. 3371-3376..

Kitazawa, S and Wolpert, DM (2006) Response to Gilbert: Rhythmicity, randomness and synchrony in climbing fiber signals. TRENDS NEUROSCI, 29. pp. 66-67. ISSN 0166-2236

Kording, KP and Wolpert, DM (2006) Bayesian decision theory in sensorimotor control. Trends in Cognitive Sciences, 10. pp. 319-326. ISSN 1364-6613

Kording, KP and Wolpert, DM (2006) Probabilistic mechanisms in sensorimotor control. In: Percept Decision Action: Bridging the Gaps, 2004-10- to --, Trieste, Italy pp. 191-198..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED pp. 5595-5598..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED 737-+..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separate lattice HMMs. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006-5-14 to 2006-5-19, Toulouse, France.

Kuss, M and Rasmussen, CE (2006) Assessing approximate inference for binary Gaussian process classification. Journal of Machine Learning Research, 6. pp. 1679-1704. ISSN 1532-4435

Kuss, M and Rasmussen, CE (2006) Assessing approximations for Gaussian process classification. In: 19th Annual Conference on Neural Information Processing Systems (NIPS Workshop), 2005-12-9 to --, Whistler, Canada pp. 699-706..

Lee, J and Lamperski, A and Schmitt, J and Cowan, N (2006) Task-level control of the lateral leg spring model of cockroach locomotion. In: UNSPECIFIED UNSPECIFIED, pp. 167-188.

Lengyel, M (2006) Computing with spikes. In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-9 to 2006-3-10, Salt Lake City, Utah.

Lengyel, M (2006) Firing rates and times in the hippocampus: what are they good for? In: ENS/UCL Workshop on Computational Neuroscience: From Biophysics to Computation and Back, 2006-6-9 to 2006-6-11, Paris, France.

Lengyel, M (2006) Firing rates and times in the hippocampus: what are they good for? In: Hippocampal Interactions within the Medial Temporal Lobe, 2006-5-10 to 2006-5-12, London, UK.

Lengyel, M (2006) Functional models of the hippocampal formation. In: 15th Annual on Computational Neurosciences Meeting (CNS 2006), 2006-7-15 to 2006-7-18, Edinburgh, UK.

Lengyel, M (2006) Matching storage and recall: spike timing-dependent plasticity and phase response curves in the hippocampus. Workshop on Phase response curves: where theory and experiments intersect. In: 15th Annual Computational Neuroscience Meeting (CNS 2006), 2006-7-15 to 2006-7-20, Edinburgh, UK.

Lengyel, M (2006) Workshop on cortico-hippocampal dynamics: navigation and neuromodulation. In: US - Hungarian Workshops on Large-Scale Random Graph Methods for Modeling Mesoscopic Behavior in Biological and Physical Systems, 2006-8-28 to 2006-9-4, Budapest, Hungary.

Lengyel, M and Dayan, P (2006) Firing rates and times in the hippocampus: what are they good for? In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-5 to 2006-3-8, Salt Lake City, Utah.

Lengyel, M and Dayan, P (2006) Uncertainty, phase and oscillatory hippocampal recall. In: 19th Neural Information Processing Systems Conference (NIPS 2006), 2006-12-3 to 2006-12-7, Vancouver, Canada.

Logothetis, NK and Gold, JI and Treves, A and Diamond, ME and Wolpert, DM and Dehaene, S and Haggard, P and Schall, JD and Scott, SH and Romo, R (2006) Discussion. Novartis Foundation Symposium, 270. pp. 101-107. ISSN 1528-2511

Logothetis, NK and Romo, R and Derdikman, D and Barash, S and Rizzolatti, G and Wolpert, DM and Gold, JI and Treves, A and Diamond, ME and Schall, JD and Sparks, DL (2006) General discussion II. Novartis Foundation Symposium, 270. pp. 108-113. ISSN 1528-2511

Meeds, E and Ghahramani, Z and Neal, R and Roweis, ST (2006) Modelling dyadic data with binary latent factors. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 2006-12-4 to 2006-12-7, Vancouver, Canada pp. 977-984..

Milner, TE and Franklin, DW and Imamizu, H and Kawato, M (2006) Central representation of dynamics when manipulating handheld objects. J Neurophysiol, 95. pp. 893-901. ISSN 0022-3077

Milner, TE and Ng, B and Franklin, DW (2006) Learning feedforward commands to muscles using time-shifted sensory feedback. In: UNSPECIFIED UNSPECIFIED, pp. 113-116.

Murray, I and Ghahramani, Z (2006) A note on the evidence and Bayesian Occam's razor. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Murray, I and Ghahramani, Z and MacKay, DJC (2006) MCMC parameter learning in spatial statistics. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 2006-6-1 to 2006-6-6, Benidorm, Spain.

Murray, I and McKay, DJC and Ghahramani, Z (2006) Nested sampling for Potts models. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 947-954.

Murray, IA and Ghahramani, Z and MacKay, DJC (2006) MCMC for doubly-intractable distributions. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 359-366..

O'Doherty, JP and Buchanan, TW and Seymour, B and Dolan, RJ (2006) Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum. Neuron, 49. pp. 157-166. ISSN 0896-6273

Orban, G and Aslin, RN and Fiser, J and Lengyel, M (2006) Bayesian model learning in human visual perception. In: Computational and Systems Neuroscience (Cosyne 2006), 2006-3-5 to 2006-3-8, Salt Lake City, Utah.

Orban, G and Fiser, J and Aslin, RN and Lengyel, M (2006) Bayesian model learning in human visual perception. In: Advances in Neural Information Processing Systems. Massachusets Institute of Technology Press, Cambridge, MA, pp. 1043-1050.

Orban, G and Fiser, J and Aslin, RN and Lengyel, M (2006) Learning objects by learning models: finding independent causes and preferring simplicity. In: Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci 2006). UNSPECIFIED, pp. 645-650.

Orbanz, P and Buhmann, JM (2006) Smooth image segmentation by nonparametric Bayesian inference. In: UNSPECIFIED pp. 444-457..

Orbán, G and Kiss, T and Erdi, P (2006) Intrinsic and synaptic mechanisms determining the timing of neuron population activity during hippocampal theta oscillation. Journal of Neurophysiology, 96. pp. 2889-2904.

Pessiglione, M and Seymour, B and Flandin, G and Dolan, RJ and Frith, CD (2006) Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature, 442. pp. 1042-1045.

Pfingsten, T and Herrmann, D and Rasmussen, CE (2006) Model-based design analysis and yield optimization. IEEE Transactions on Semiconductor Manufacturing, 19. pp. 475-486. ISSN 0894-6507

Quiñonero Candela, J and Rasmussen, CE (2006) A unifying view of sparse approximate Gaussian process regression. Journal of Machine Learning Research, 6. pp. 1939-1960. ISSN 1532-4435

Quiñonero Candela, J and Rasmussen, CE and Sinz, F and Bousquet, O and Scholkopf, B (2006) Evaluating predictive uncertainty challenge. In: Machine Learning Challenges. Lecture Notes in Computer Science, 3944 . Springer, Germany, pp. 1-27.

Rasmussen, CE and Williams, CKI (2006) Gaussian processes for machine learning. MIT Press, Cambridge, MA, USA, -.

Romo, R and Rizzolatti, G and Albright, TD and Logothetis, NK and Treves, A and Barash, S and Diamond, ME and Esteky, H and Schall, JD and Wolpert, DM and Haggard, P and Scott, SH and Derdikman, D (2006) General discussion IV. Novartis Foundation Symposium, 270. pp. 232-237. ISSN 1528-2511

Schall, JD and Harris, JA and Logothetis, NK and Diamond, ME and Haggard, P and Treves, A and Wolpert, DM and Scott, SH and Romo, R and Derdikman, D (2006) Discussion. Novartis Foundation Symposium, 270. pp. 246-250. ISSN 1528-2511

Schall, JD and Sparks, DL and Logothetis, NK and Derdikman, D and Gold, JI and Brecht, M and Diamond, ME and Wolpert, DM and Barash, S (2006) Discussion. Novartis Foundation Symposium, 270. pp. 88-91. ISSN 1528-2511

Scott, SH and Diamond, ME and Logothetis, NK and Wolpert, DM and Albright, TD and Barash, S and Rizzolatti, G and Brecht, M and Gold, JI and Sparks, DL and Krubitzer, L and Haggard, P and Derdikman, D and Harris, JA and Romo, R (2006) Discussion. Novartis Foundation Symposium, 270. pp. 31-37. ISSN 1528-2511

Scott, SH and Wolpert, DM and Gold, JI and Derdikman, D and Logothetis, NK and Dehaene, S and Treves, A and Sparks, DL and Haggard, P (2006) Discussion. Novartis Foundation Symposium, 270. pp. 198-202. ISSN 1528-2511

Seymour, B (2006) Carry on eating: neural pathways mediating conditioned potentiation of feeding. J Neurosci, 26. pp. 1061-1062.

Silva, R and Ghahramani, Z (2006) Bayesian inference for Gaussian mixed graph models. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 453-460..

Singer, T and Seymour, B and O'Doherty, JP and Stephan, KE and Dolan, RJ and Frith, CD (2006) Empathic neural responses are modulated by the perceived fairness of others. Nature, 439. pp. 466-469.

Snelson, E and Ghahramani, Z (2006) Sparse Gaussian processes using pseudo-inputs. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1257-1264.

Snelson, E and Ghahramani, Z (2006) Variable noise and dimensionality reduction for sparse Gaussian processes. In: UAI 2006: 22nd Conference on Uncertainty in Artificial Intelligence, 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 461-468..

Tanifuji, M and Rizzolatti, G and Tsakiris, M and Romo, R and Harris, JA and Logothetis, NK and Diamond, ME and Sparks, DL and Schall, JD and Rumiati, RI and Treves, A and Derdikman, D and Wolpert, DM and Gold, JI and Dehaene, S and Krubitzer, L and Porro, CA (2006) General discussion III. Novartis Foundation Symposium, 270. pp. 164-169. ISSN 1528-2511

Tootoonian, S and Abugharbieh, R and Huang, X and McKeown, MJ (2006) Shape vs. volume: Invariant shape descriptors for 3D region of interest characterization in MRI. 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, 2006. pp. 754-757.

Treves, A and Diamond, ME and Wolpert, DM and Brecht, M and Derdikman, D and Scott, SH and Romo, R and Sparks, DL and Haggard, P and Logothetis, NK and Schall, JD and Rizzolatti, G and Porro, CA and Esteky, H and Barash, S (2006) General discussion I. Novartis Foundation Symposium, 270. pp. 51-58. ISSN 1528-2511

Treves, A and Ditterich, J and Diamond, ME and Schall, JD and Gold, JI and Wolpert, DM and Logothetis, NK and Mehler, J (2006) Discussion. Novartis Foundation Symposium, 270. pp. 126-128. ISSN 1528-2511

Turner, RE and Al-Hames, MA and Smith, DRR and Kawahara, H and Irino, T and Patterson, RD (2006) Vowel normalisation: Time-domain processing of the internal dynamics of speech. In: Dynamics of Speech Production and Perception. IOS Press, pp. 153-170.

Voss, M and Ingram, JN and Haggard, P and Wolpert, DM (2006) Sensorimotor attenuation by central motor command signals in the absence of movement. Nature Neuroscience, 9. pp. 26-27. ISSN 1097-6256

Wood, F and Griffiths, TL and Ghahramani, Z (2006) A non-parametric Bayesian method for inferring hidden causes. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 2006-7-13 to 2006-7-16, Cambridge, MA, US pp. 536-543..

Zhang, J and Ghahramani, Z and Yang, Y (2006) Learning multiple related tasks using latent independent component analysis. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1585-1592.

Zhu, X and Kandola, J and Lafferty, J and Ghahramani, Z (2006) Graph kernels by spectral transforms. In: Semi-Supervised Learning, Chapter 15. MIT Press, Cambridge, MA, USA, pp. 277-289.

2005

Bays, PM and Flanagan, JR and Wolpert, DM (2005) Interference between velocity-dependent and position-dependent force-fields indicates that tasks depending on different kinematic parameters compete for motor working memory. Experimental Brain Research, 163. pp. 400-405. ISSN 0014-4819

Bays, PM and Wolpert, DM and Flanagan, JR (2005) Perception of the consequences of self-action is temporally tuned and event driven. Current Biology, 15. pp. 1125-1128. ISSN 0960-9822

Beal, MJ and Falciani, FL and Ghahramani, Z and Rangel, C and Wild, DL (2005) A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinformatics, 21. pp. 349-356. ISSN 1367-4803

Beal, MJ and Li, J and Ghahramani, Z and Wild, DL (2005) Reconstructing transcriptional networks using gene expression profiling and Bayesian state space models. In: Introduction to Systems Biology. Humana Press (Springer), Chapter 12-.

Cattaneo, L and Voss, M and Brochier, T and Prabhu, G and Wolpert, DM and Lemon, RN (2005) A cortico-cortical mechanism mediating object-driven grasp in humans. Proceedings of the National Academy of Sciences of the United States of America, 102. pp. 898-903. ISSN 0027-8424

Chaminade, T and Franklin, DW and Oztop, E and Cheng, G (2005) Motor interference between humans and humanoid robots: Effect of biological and artificial motion. In: UNSPECIFIED pp. 96-101..

Chu, W and Ghahramani, Z (2005) Extensions of Gaussian processes for ranking: semi-supervised and active learning. In: The NIPS 2005 Workshop on Learning to Rank, 2005-12-9 to --, Whistler, BC, US pp. 29-34..

Chu, W and Ghahramani, Z (2005) Gaussian processes for ordinal regression. Journal of Machine Learning Research, 6. pp. 1019-1042. ISSN 1532-4435

Chu, W and Ghahramani, Z (2005) Preference learning with Gaussian processes. In: The 22nd International Conference on Machine Learning: ICML 2005, 2005-8- to --, Bonn, Germany pp. 137-144..

Chu, W and Ghahramani, Z and Falciani, F and Wild, DL (2005) Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics, 21. pp. 3385-3393. ISSN 1367-4803

Davidson, PR and Wolpert, DM (2005) Widespread access to predictive models in the motor system: a short review. Journal of Neural Engineering, 2. pp. 313-319. ISSN 1741-2560

Davidson, PR and Wolpert, DM and Scott, SH and Flanagan, JR (2005) Common encoding of novel dynamic loads applied to the hand and arm. Journal of Neuroscience, 25. pp. 5425-5429. ISSN 0270-6474

Griffiths, TL and Ghahramani, Z (2005) Infinite latent feature models and the indian buffet process. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Haruno, M and Wolpert, DM (2005) Optimal control of redundant muscles in step-tracking wrist movements. Journal of Neurophysiology, 94. pp. 4244-4255. ISSN 0022-3077

Heller, KA and Ghahramani, Z (2005) Bayesian hierarchical clustering. In: The 22nd International Conference on Machine Learning: ICML 2005, 2005-8- to --, Bonn, Germany pp. 297-304..

Heller, KA and Ghahramani, Z (2005) Randomized algorithms for fast Bayesian hierarchical clustering. In: EU-PASCAL Statistics and Optimization of Clustering Workshop, 2005-7-5 to 2005-7-6, London, UK.

Huhn, Z and Lengyel, M and Orban, G and Erdi, P (2005) Dendritic spiking accounts for rate and phase coding in a biophysicalmodel of a hippocampal place cell. Neurocomputing, 65/66. pp. 331-341. ISSN 0925-2312

Huhn, Z and Orban, G and Erdi, P and Lengyel, M (2005) Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale. Hippocampus, 15. pp. 950-962. ISSN 1050-9631

Kalisch, R and Wiech, K and Critchley, HD and Seymour, B and O'Doherty, JP and Oakley, DA and Allen, P and Dolan, RJ (2005) Anxiety reduction through detachment: subjective, physiological, and neural effects. J Cogn Neurosci, 17. pp. 874-883. ISSN 0898-929X

Kitazawa, S and Wolpert, DM (2005) Rhythmicity, randomness and synchrony in climbing fiber signals. Trends in Neurosciences, 28. pp. 611-619. ISSN 0166-2236

Kuss, M and Pfingsten, T and Csato, L and Rasmussen, CE (2005) Approximate inference for robust Gaussian process regression. Technical Report. Max Planck Institute: Biological Cybernetics, Tübingen, Germany.

Lengyel, M and Dayan, P (2005) Rate- and phase-coded autoassociative memory. In: Advances in Neural Information Processing Systems (issue 17). Massachusets Institute of Technology Press, Cambridge, MA, pp. 769-776.

Lengyel, M and Huhn, Z and Erdi, P (2005) Computational theories on the function of theta oscillations. Biological Cybernetics, 92. pp. 393-408. ISSN 0340-1200

Lengyel, M and Kwag, J and Paulsen, O and Dayan, P (2005) Matching storage and recall: constructing optimal rate and phase-coded autoassociative memories. In: Computational and Systems Neuroscience (Cosyne 2005), 2005-3-17 to 2005-3-20, Salt Lake City, Utah.

Lengyel, M and Kwag, J and Paulsen, O and Dayan, P (2005) Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves. Nature Neuroscience, 8. pp. 1677-1683. ISSN 1097-6256

Milner, TE and Franklin, DW (2005) Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans. J Physiol, 567. pp. 651-664. ISSN 0022-3751

Nowak, DA and Voss, M and Huang, YZ and Wolpert, DM and Rothwell, JC (2005) High-frequency repetitive transcranial magnetic stimulation over the hand area of the primary motor cortex disturbs predictive grip force scaling. European Journal of Neuroscience, 22. pp. 2392-2396. ISSN 0953-816X

Orban, G and Aslin, RN and Fiser, J and Lengyel, M (2005) Bayesian model selection in human visual perception. In: Society for Neuroscience, 2005-11-12 to 2005-11-16, Washington DC, USA.

Orban, G and Aslin, RN and Fiser, J and Lengyel, M (2005) Bayesian model selection in human visual perception. In: Computational and Systems Neuroscience (Cosyne 2005), 2005-3-17 to 2005-3-20, Salt Lake City, Utah.

Orbanz, P and Buhmann, JM (2005) SAR images as mixtures of Gaussian mixtures. In: UNSPECIFIED pp. 1709-1712..

Oztop, E and Wolpert, D and Kawato, M (2005) Mental state inference using visual control parameters. Cognitive Brain Research, 22. pp. 129-151. ISSN 0926-6410

Penny, W and Ghahramani, Z and Friston, K (2005) Bilinear dynamical systems. Philisophical Transactions of the Royal Society of London, Series B: Biological Sciences, 360. pp. 983-994. ISSN 0962-8436

Quiñonero Candela, J and Rasmussen, CE (2005) Analysis of some methods for reduced rank Gaussian process regression. In: Switching and Learning in Feedback Systems. Lecture Notes in Computer Science: Theoretical Computer Science and General Issues, 3355 . Springer, Germany, pp. 98-127.

Rangel, C and Angus, J and Ghahramani, Z and Wild, DL (2005) Modeling genetic regulatory networks using gene expression profiling and state space models. In: Probabilistic Modelling in Bioinformatics and Medical Informatics. Springer, pp. 269-293.

Rasmussen, CE and Quinonero Candela, J (2005) Healing the relevance vector machine through augmentation. In: The 22nd International Conference on Machine Learning: ICML 2005, 2005-8- to -- pp. 689-696..

Rizzolatti, G and Wolpert, DM (2005) Motor systems. Current Opinion in Neurobiology, 15. pp. 623-625. ISSN 0959-4388

Schultz, J and Friston, KJ and O'Doherty, J and Wolpert, DM and Frith, CD (2005) Activation in posterior superior temporal sulcus parallels parameter inducing the percept of animacy. Neuron, 45. pp. 625-635. ISSN 0896-6273

Schultz, J and Friston, KJ and Wolpert, DM and Firth, CD (2005) Activation in superior temporal sulcus parallels a parameter inducing the percept of animacy. PERCEPTION, 34. p. 62. ISSN 0301-0066

Seymour, B and Miles, J and Haeney, M (2005) Primary antibody deficiency and diagnostic delay. J Clin Pathol, 58. pp. 546-547. ISSN 0021-9746

Seymour, B and O'Doherty, JP and Koltzenburg, M and Wiech, K and Frackowiak, R and Friston, K and Dolan, R (2005) Opponent appetitive-aversive neural processes underlie predictive learning of pain relief. Nat Neurosci, 8. pp. 1234-1240. ISSN 1097-6256

Shergill, SS and Samson, G and Bays, PM and Frith, CD and Wolpert, DM (2005) Evidence for sensory prediction deficits in schizophrenia. American Journal of Psychiatry, 162. pp. 2384-2386. ISSN 0002-953X

Snelson, E and Ghahramani, Z (2005) Compact approximations to Bayesian predictive distributions. In: The 22nd International Conference on Machine Learning: ICML 2005, 2005-8- to --, Bonn, Germany pp. 841-848..

Snelson, E and Ghahramani, Z (2005) Compact approximations to Bayesian predictive distributions. In: UNSPECIFIED pp. 840-847..

Sung, JM and Bang, SY and Kim, S and Ghahramani, Z (2005) U-likelihood and U-updating algorithm: statistical inference on latent variable models. In: The 16th European Conference on Machine Learning, 2005-10- to --, Porto, Portugal pp. 377-388..

Tanner, TG and Hill, NJ and Rasmussen, CE and Wichmann, FA (2005) Efficient adaptive sampling of the psychometric function by maximising information gain. In: 8th Conference onTubingen Perception, TWK' 05, 2005-- to --, Tubingen, Germany p.109-..

Van Den Berg, R and Cornelissen, FW and Hannus, A and Roerdink, JBTM (2005) Simultaneous colour search renders other object properties less salient. Proceedings - APGV 2005: 2nd Symposium on Applied Perception in Graphics and Visualization. p. 162.

Wiech, K and Seymour, B and Kalisch, R and Stephan, KE and Koltzenburg, M and Driver, J and Dolan, RJ (2005) Modulation of pain processing in hyperalgesia by cognitive demand. Neuroimage, 27. pp. 59-69. ISSN 1053-8119

Zhang, J and Ghahramani, Z and Yang, Y (2005) A probabilistic model for online document clustering with application to novelty detection. In: Advances in Neural Information Processing Systems 17. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1617-1624.

Zhu, X and Ghahramani, Z and Lafferty, J (2005) Time-sensitive Dirichlet process mixture models. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

Zhu, X and Kandola, J and Ghahramani, Z and Lafferty, J (2005) Nonparametric transforms of graph kernels for semi-supervised learning. In: Advances in Neural Information Processing Systems 17. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1641-1648.

2004

Baraduc, P and Lang, N and Rothwell, JC and Wolpert, DM (2004) Consolidation of dynamic motor learning is not disrupted by rTMS of primary motor cortex. Current Biology, 14. pp. 252-256. ISSN 0960-9822

Beal, MJ and Rangel, C and Falciani, F and Ghahramani, Z and Wild, DL (2004) Classical and Bayesian approaches to reconstructing genetic regulatory networks. In: 12th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2004-7-31 to 2004-8-1, Glasgow, UK.

Bourne, PE and Allerston, CKJ and Krebs, W and Li, W and Shinyalov, IN and Godzik, A and Friedberg, I and Liu, T and Wild, DL and Hwang, S and Ghahramani, Z and Chen, L and Westbrook, J (2004) The status of structural genomics defined through the analysis of current targets and structures. In: The Pacific Symposium on Biocomputing 2004, 2004-1-6 to 2004-1-10, Hawaii, HI, US pp. 375-386..

Burdet, E and Franklin, DW and Osu, R and Tee, KP and Kawato, M and Milner, TE (2004) How are internal models of unstable tasks formed? In: UNSPECIFIED pp. 4491-4494..

Caithness, G and Osu, R and Bays, P and Chase, H and Klassen, J and Kawato, M and Wolpert, DM and Flanagan, JR (2004) Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. Journal of Neuroscience, 24. pp. 8662-8703. ISSN 0270-6474

Chu, W and Ghahramani, Z (2004) Gaussian processes for ordinal regression. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Chu, W and Ghahramani, Z and Wild, DL (2004) Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. In: UNSPECIFIED pp. 81-86..

Chu, W and Ghahramani, Z and Wild, DL (2004) Secondary structure prediction using Sigmoid belief networks to parameterize segmental semi-Markov models. In: The 12th European Symposium on Artificial Neural Networks (ESANN), 2004-4-28 to 2004-4-30, Bruges, Belgium -..

Chu, W and Ghahramani, Z and Wild, DL (2004) A graphical model for protein secondary structure prediction. In: The 21st International Conference on Machine Learning: ICML 2004, 2004-7- to --, Banff, AB, Canada pp. 161-168..

Chu, W and Ghahramani, Z and Wild, DL (2004) A graphical model for protein secondary structure prediction. In: UNSPECIFIED.

Davidson, PR and Wolpert, DM (2004) Internal models underlying grasp can be additively combined. Experimental Brain Research, 155. pp. 334-340. ISSN 0014-4819

Davidson, PR and Wolpert, DM (2004) Scaling down motor memories: de-adaptation after motor learning. Neuroscience Letters, 370. pp. 102-107. ISSN 0304-3940

Dubey, A and Hwang, S and Rangel, C and Rasmussen, CE and Ghahramani, Z and Wild, DL (2004) Clustering protein sequence and structure space with infinite Gaussian mixture models. In: The Pacific Symposium on Biocomputing 2004, 2004-1-6 to 2004-1-10, Hawaii, HI, US pp. 399-410..

Eichhorn, J and Tolias, AS and Zien, A and Kuss, M and Rasmussen, CE and Weston, J and Logothetis, NK and Scholkopf, B (2004) Prediction on spike data using kernel algorithms. In: 17th Annual Conference on Neural Information Processing Systems, NIPS'03, 2003-12- to --, British Columbia, Canada pp. 1367-1374..

Franklin, DW and So, U and Kawato, M and Milner, TE (2004) Impedance control balances stability with metabolically costly muscle activation. J Neurophysiol, 92. pp. 3097-3105. ISSN 0022-3077

Franz, MO and Kwon, Y and Rasmussen, CE and Scholkopf, B (2004) Semi-supervised kernel regression using whitened function classes. In: The 26th DAGM Symposium on Pattern Recognition, 2004-8- to -- pp. 18-26..

Ghahramani, Z (2004) Unsupervised learning. In: Advanced Lectures on Machine Learning: ML Summer Schools 2003. Lecture Notes in Computer Science: Lecture Notes in Artificial Intelligence, 3176 . Springer, Berlin, Germany, pp. 72-112.

Gorur, D and Rasmussen, CE and Tolias, AS and Sinz, F and Logothetis, NK (2004) Modelling spikes with mixtures of factor analysers. In: The 26th DAGM Symposium on Pattern Recognition, 2004-8- to -- pp. 391-398..

Hajós, M and Hoffmann, WE and Orbán, G and Kiss, T and Erdi, P (2004) Modulation of septo-hippocampal Theta activity by GABAA receptors: an experimental and computational approach. Neuroscience, 126. pp. 599-610.

Hamilton, A and Wolpert, DM and Frith, U (2004) Your Own Action Influences How You Perceive Another Person's Action. Current Biology, 14. pp. 493-498. ISSN 0960-9822

Hamilton, AF and Jones, KE and Wolpert, DM (2004) The scaling of motor noise with muscle strength and motor unit number in humans. Experimental Brain Research, 157. pp. 417-430. ISSN 0014-4819

Huhn, Z and Lengyel, M and Erdi, P (2004) Rate and phase-coding in a biophysical model of a hippocampus place cell. In: European Meeting of Cybernetics and System Reseach (EMCSR 2004), 2004-4-13 to 2004-4-16, Vienna, Austria.

Huhn, Z and Orban, G and Lengyel, M and Erdi, P (2004) Rate and temporal coding in a biophysical model of a hippocampal place cell. In: IBRO International Workshop on Neuronal Circuits: from Elementary to Complex Functions, 2004-1-29 to 2004-1-31, Budapest, Hungary.

Kocijan, J and Murray Smith, R and Rasmussen, CE and Girard, A (2004) Gaussian process model based predictive control. In: The American Control Conference v.3, 2004-6- to -- pp. 2214-2219..

Kording, KP and Fukunaga, I and Howard, IS and Ingram, JN and Wolpert, DM (2004) A neuroeconomics approach to inferring utility functions in sensorimotor control. PLoS Biology, 2. pp. 1652-1656. ISSN 1544-9173

Kording, KP and Ku, SP and Wolpert, DM (2004) Bayesian integration in force estimation. Journal of Neurophysiology, 92. pp. 3161-3165. ISSN 0022-3077

Kording, KP and Wolpert, DM (2004) Bayesian integration in sensorimotor learning. Nature -London, 427. pp. 244-247. ISSN 0028-0836

Kording, KP and Wolpert, DM (2004) Probabilistic inference in human sensorimotor processing. In: UNSPECIFIED pp. 1327-1334..

Kording, KP and Wolpert, DM (2004) The loss function of sensorimotor learning. Proceedings of the National Academy of Sciences of the United States of America, 101. pp. 9839-9842. ISSN 0027-8424

Lengyel, M (2004) Dynamically detuned oscillations account for rate and phase coding in the hippocampus. In: Workshop on Theta Oscillations in the Brain: Neural Mechanisms and Functions, 2004-9-6 to 2004-9-8, London, UK.

Lengyel, M and Erdi, P (2004) Theta-modulated feed-forward network generates rate and phase coded firing in the entorhino-hippocampal system. IEEE Transactions on Neural Networks, 15. pp. 1092-1099. ISSN 1045-9227

Miyamoto, H and Nakano, E and Wolpert, DM and Kawato, M (2004) TOPS (Task optimization in the presence of signal-dependent noise) model. Systems and Computers in Japan, 35. pp. 48-58. ISSN 0882-1666

Murray, I and Ghahramani, Z (2004) Bayesian learning in undirected graphical models: approximate MCMC algorithms. In: The 20th Conference on Uncertainty in Artificial Intelligence, 2004-7-7 to 2004-7-11, Banff, AB, Canada pp. 392-399..

Oztop, E and Chaminade, T and Franklin, DW (2004) Human-humanoid interaction: Is a humanoid robot perceived as a human? In: UNSPECIFIED pp. 830-841..

Papp, G and Huhn, Z and Lengyel, M and Erdi, P (2004) Effects of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells. Neurocomputing, 58-60. pp. 691-697. ISSN 0925-2312

Qi, Y and Minka, TP and Picard, RW and Ghahramani, Z (2004) Predictive automatic relevance determination by expectation propagation. In: The 21st International Conference on Machine Learning: ICML 2004, 2004-7- to --, Banff, AB, Canada pp. 671-678..

Qi, YA and Minka, TP and Picard, RW and Ghahramani, Z (2004) Predictive automatic relevance determination by expectation propagation. In: UNSPECIFIED.

Rangel, C and Angus, J and Ghahramani, Z and Lioumi, M and Southeran, E and Gaiba, A and Wild, DL and Falciani, F (2004) Modeling T-cell activation using gene expression profiling and state space models. Bioinformatics, 20. pp. 1361-1372. ISSN 1367-4803

Rangel, C and Angus, J and Ghahramani, Z and Lioumi, M and Southeran, E and Gaiba, A and Wild, DL and Falciani, F (2004) Modeling T-cell activation using gene expression profiling and state-space models. Bioinformatics, 20. pp. 1361-1372. ISSN 1367-4803

Rasmussen, CE (2004) Gaussian processes in machine learning. In: Advanced Lectures on Machine Learning. Lecture Notes in Computer Science: Lecture Notes in Artificial Intelligence, 3176 . Springer, Germany, pp. 63-71.

Rasmussen, CE and Kuss, M (2004) Gaussian processes in reinforcement learning. In: 17th Annual Conference on Neural Information Processing Systems, NIPS'03, 2003-12- to --, British Columbia, Canada pp. 751-759..

Rinard, M and Cadar, C and Dumitran, D and Roy, DM and Leu, T (2004) A dynamic technique for eliminating buffer overflow vulnerabilities (and other memory errors). Proceedings - Annual Computer Security Applications Conference, ACSAC. pp. 82-90. ISSN 1063-9527

Seymour, B and O'Doherty, JP and Dayan, P and Koltzenburg, M and Jones, AK and Dolan, RJ and Friston, KJ and Frackowiak, RS (2004) Temporal difference models describe higher-order learning in humans. Nature, 429. pp. 664-667.

Singer, T and Seymour, B and O'Doherty, J and Kaube, H and Dolan, RJ and Frith, CD (2004) Empathy for pain involves the affective but not sensory components of pain. Science, 303. pp. 1157-1162.

Sinz, F and Quinonero Candela, J and Bakir, GH and Rasmussen, CE and Franz, MO (2004) Learning depth from stereo. In: The 26th DAGM Symposium on Pattern Recognition, 2004-8- to -- pp. 245-252..

Snelson, E and Rasmussen, CE and Ghahramani, Z (2004) Warped Gaussian processes. In: Neural Information Processing Systems, NIPS, 17th Annual Conference, 2003-12- to --, British Columbia, Canada pp. 337-344..

Sprekeler, H and Kießlich, G and Wacker, A and Schöll, E (2004) Coulomb effects in tunneling through a quantum dot stack. Physical Review B - Condensed Matter and Materials Physics, 69. pp. 1253281-1253286. ISSN 0163-1829

Thrun, S and Koller, D and Ghahramani, Z and Durrant Whyte, H and Ng, AY (2004) Simultaneous mapping and localization with sparse extended information filters. In: Algorithmic Foundations of Robotics V. Springer Tracts in Advanced Robotics . Springer, pp. 363-380.

Thrun, S and Liu, Y and Koller, D and Ng, AY and Ghahramani, Z and Durrant Whyte, H (2004) Simultaneous localization and mapping with sparse extended information filters. International Journal of Robotics Research, 23. pp. 693-716. ISSN 0278-3649

Todorov, E and Ghahramani, Z (2004) Analysis of the synergies underlying complex hand manipulation. In: The 26th IEEE Annual International Conference on Engineering in Medicine and Biology Society; EMBC 2004 - Volume 6, 2004-9- to --, San Francisco, CA, US pp. 4637-4640..

Tuttle, E and Ghahramani, Z (2004) Propagating uncertainty in POMDP value iteration with Gaussian processes. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Van Beers, RJ and Haggard, P and Wolpert, DM (2004) The role of execution noise in movement variability. Journal of Neurophysiology, 91. pp. 1050-1063. ISSN 0022-3077

Wolpert, DM and Ghahramani, Z (2004) Bayes rule in perception, action and cognition. In: The Oxford Companion to the Mind. Oxford University Press.

Wolpert, DM and Ghahramani, Z (2004) Computational motor control. In: The Cognitive Neurosciences. MIT Press, Cambridge, MA, USA.

Wolpert, DM and Tumer, K and Bandari, E (2004) Improving search algorithms by using intelligent coordinates. Physical Review E: Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 69. p. 017701-. ISSN 1063-651X

2003

Beal, MJ and Ghahramani, Z (2003) The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures. In: Bayesian Statistics 7: the Seventh Valencia International Meeting, 2002-6- to --, Tenerife, Spain pp. 453-464..

Davidson, PR and Wolpert, DM (2003) Motor learning and prediction in a variable environment. Current Opinion in Neurobiology, 13. pp. 232-237. ISSN 0959-4388

Erdi, P and Lengyel, M (2003) Matematikai modellek az idegrendszer-kutatásban (Mathematical models in neuroscience). In: Kognitiv Idegtudomany (Cognitive Neuroscience). Osiris, Budapest, Hungary, pp. 126-148.

Flanagan, JR and Vetter, P and Johansson, RS and Wolpert, DM (2003) Prediction precedes control in motor learning. Current Biology, 13. pp. 146-150. ISSN 0960-9822

Franklin, DW and Burdet, E and Osu, R and Kawato, M and Milner, TE (2003) Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics. Exp Brain Res, 151. pp. 145-157. ISSN 0014-4819

Franklin, DW and Milner, TE (2003) Adaptive control of stiffness to stabilize hand position with large loads. Exp Brain Res, 152. pp. 211-220. ISSN 0014-4819

Franklin, DW and Osu, R and Burdet, E and Kawato, M and Milner, TE (2003) Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model. J Neurophysiol, 90. pp. 3270-3282. ISSN 0022-3077

Franklin, DW and So, U and Kawato, M and Milner, TE (2003) Interacting with our environment: Impedance control balances stability and metabolic cost. In: UNSPECIFIED pp. 1440-1443..

Frith, CD and Wolpert, DM (2003) Decoding, imitating and influencing the actions of others: the mechanisms of social interaction - Introduction. PHILOS T R SOC B, 358. pp. 431-434. ISSN 0962-8436

Ghahramani, Z (2003) Information theory. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

Ghahramani, Z and Kim, HC (2003) Bayesian classifier combination. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Girard, A and Rasmussen, CE and Quiñonero Candela, J and Murray Smith, R (2003) Gaussian process priors with uncertain inputs - application to multiple-step ahead time series forecasting. In: 16th Annual Conference on Neural Information Processing Systems, NIPS'02, 2002-12- to --, British Columbia, Canada pp. 545-552..

Haruno, M and Wolpert, DM and Kawato, M (2003) Hierarchical MOSAIC for movement generation. In: UNSPECIFIED pp. 575-590..

Jin, R and Ghahramani, Z (2003) Learning with multiple labels. In: Advances in Neural Information Processing Systems 15. MIT Press, Cambridge, MA, USA, pp. 921-928.

Kiesslich, G and Sprekeler, H and Wacker, A and Schoell, E (2003) Positive Correlations in Tunneling through coupled Quantum Dots. Semicond. Sci. Technol., 19. S37-.

Kim, HC and Ghahramani, Z (2003) The EM-EP algorithm for Gaussian process classification. In: The Workshop on Probabilistic Graphical Models for Classification held at The 14th European Conference on Machine Learning (ECML) and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), -- to -- pp. 37-48..

Kocijan, J and Murray Smith, R and Rasmussen, CE and Likar, B (2003) Predictive control with Gaussian process models. In: The IEEE Region 8 Conference Eurocon 2003: The Computer as a Tool v.1, 2003-- to -- pp. 352-356..

Kocijan, JB and Banko, B and Likar, A and Girard, A and Murray Smith, R and Rasmussen, CE (2003) A case based comparison of identification with neural network and Gaussian process models. In: The IFAC International Conference on Intelligent Control Systems and Signal Processing; (ICONS 2003), 2003-4- to --, Faro, Portugal pp. 129-134..

Lengyel, M and Erdi, P and Treves, A (2003) Decoding the activity of neural networks: biological decoding and constant metric content. In: 6th IBRO World Congress of Neuroscience, 2003-7-10 to 2003-7-15, Prague, Czech Republic.

Lengyel, M and Erdi, P and Treves, A (2003) Decoding the activity of neural networks: biological decoding and constant metric content. In: The Annual Computational Neuroscience Meeting (CNS 2003), 2003-7-5 to 2003-7-9, Alicante, Spain.

Lengyel, M and Szatmary, Z and Erdi, P (2003) Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing. Hippocampus, 13. pp. 700-714. ISSN 1050-9631

Minka, TP and Ghahramani, Z (2003) Expectation propagation for infinite mixtures (Technical Report). In: NIPS'03 Workshop on Nonparametric Bayesian Methods and Infinite Models, 2003-12-13 to --, Whistler, BC Canada.

Murray Smith, RD and Sbarbaro, CE and Rasmussen, CE and Girard, A (2003) Adaptive, cautious, predictive control with Gaussian process priors. In: The 13th IFAC Symposium on System Identification; SYSID '03 v.3, 2003-8- to -- pp. 1155-1160..

Ohno, Y and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2003) The training algorithm based on variational approximation for separable 2D-HMM. Technical Report. The Institute of Electronics, Information and Communication Engineers (IEICE), Japan.

Osu, R and Burdet, E and Franklin, DW and Milner, TE and Kawato, M (2003) Different mechanisms involved in adaptation to stable and unstable dynamics. J Neurophysiol, 90. pp. 3255-3269. ISSN 0022-3077

Papp, G and Huhn, Z and Lengyel, M and Erdi, P (2003) Effects of dendritic location and different components of LTP expression on the firing activity of hippocampal CA1 pyramidal cells. In: Annual Computational Neuroscience Meeting (CNS 2003), 2003-7-5 to 2003-7-9, Alicante, Spain.

Quiñonero Candela, J and Girard, A and Larsen, J and Rasmussen, CE (2003) Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. In: 2003 IEEE International Workshop on Neural Networks for Signal Processing, 2003-- to --.

Quiñonero Candela, J and Girard, A and Larsen, J and Rasmussen, CE (2003) Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. In: 28th IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2003, 2003-4-6 to 2003-4-10, Hong Kong, China pp. 701-704..

Quiñonero Candela, J and Girard, A and Rasmussen, CE (2003) Prediction at an uncertain input for Gaussian processes and relevance vector machines - application to multiple-step ahead time-series forecasting. Technical Report. Technical University of Denmark, Denmark.

Rasmussen, CE (2003) Gaussian processes to speed up hybrid Monte Carlo for expensive Bayesian integrals. In: Bayesian Statistics 7: the 7th Valencia International Meeting, -- to -- pp. 651-659..

Rasmussen, CE and Ghahramani, Z (2003) Bayesian Monte Carlo. In: 16th Annual Conference on Neural Information Processing Systems, NIPS'02, 2002-12- to --, British Columbia, Canada pp. 505-512..

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2003) On the convergence of bound optimization algorithms. In: The 19th International Conference on Uncertainty in Artificial Intelligence, 2003-8- to --, Acapulco, Mexico pp. 509-516..

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2003) Optimization with EM and expectation-conjugate-gradient. In: The 20th International Conference on Machine Learning (ICML-2003) Volume 2, 2003-8- to --, Washington, DC, US pp. 672-679..

Shergill, SS and Bays, PM and Frith, CD and Wolpert, DM (2003) Two eyes for an eye: the neuroscience of force escalation. Science, 301. p.187-. ISSN 0036-8075

Solak, E and Murray Smith, R and Leithead, WE and Leith, D and Rasmussen, CE (2003) Derivative observations in Gaussian process models of dynamic systems. In: 16th Annual Conference on Neural Information Processing Systems, NIPS'02, 2002-12- to --, British Columbia, Canada pp. 1057-1064..

Thrun, S and Koller, D and Ghahramani, Z and Durrant-Whyte, H and Ng, AY (2003) Simultaneous mapping and localization with sparse extended information filters: Theory and initial results. In: UNSPECIFIED pp. 363-380..

Todorov, E and Ghahramani, Z (2003) Unsupervised learning of sensory-motor primitives. IEEE Engineering in Medicine and Biology Society: Proceedings of the 25th Annual International Conference of the IEEE, 25. pp. 1750-1753. ISSN 1094-687X

Todorov, E and Ghahramani, Z (2003) Unsupervised learning of sensory-motor synergies. In: Society for Neuroscience Conference, 2003-9- to --, Cancun, Mexico pp. 1750-1753..

Witney, AG and Wolpert, DM (2003) Spatial representation of predictive motor learning. Journal of Neurophysiology, 89. pp. 1837-1843. ISSN 0022-3077

Wolpert, DM and Doya, K and Kawato, M (2003) A unifying computational framework for motor control and social interaction. Philosophical Transactions Royal Society of London Series B: Biological Sciences, 358. pp. 593-602. ISSN 0962-8436

Wolpert, DM and Ghahramani, Z (2003) Motor learning models. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

Xhu, X and Lafferty, J and Ghahramani, Z (2003) Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions. In: The ICML-2003 Workshop on The Continuum from Labeled to Unlabeled Data, 2003-- to --, Washington, DC, US pp. 58-65..

Zalanyi, L and Csardi, G and Kiss, T and Lengyel, M and Warner, R and Tobochnik, J and Erdi, P (2003) Properties of a random attachment growing network. Physical Review, E68. 066104-. ISSN 1539-3755

Zhu, X and Ghahramani, Z and Lafferty, J (2003) Semi-supervised learning using Gaussian fields and harmonic functions. In: The 20th International Conference on Machine Learning (ICML-2003) Volume 2, 2003-8- to --, Washington, DC, US pp. 912-919..

2002

Anderson, IK and Szymkowiak, A and Rasmussen, CE and Hanson, LG and Marstrand, JR and Larsson, HBW and Hansen, LK (2002) Perfusion quantification using Gaussian process deconvolution. Magnetic Resonance in Medicine, 48. pp. 351-361. ISSN 0740-3194

Baraduc, P and Hamilton, AF and Wolpert, DM (2002) Neurophysiology: cerebral carbon copies. Current Biology, 12. pp. 552-553. ISSN 0960-9822

Baraduc, P and Wolpert, DM (2002) Adaptation to a visuomotor shift depends on the starting posture. Journal of Neurophysiology, 88. pp. 973-981. ISSN 0022-3077

Beal, MJ and Ghahramani, Z and Rasmussen, CE (2002) The infinite hidden Markov model. In: Advances in Neural Information Processing Systems 14: the 2001 Neural Information Processing Systems (NIPS) Conference, 2001-- to --, British Columbia, Canada pp. 577-585..

Blakemore, SJ and Wolpert, DM and Frith, CD (2002) Abnormalities in the awareness of action. Trends in Cognitive Sciences, 6. pp. 237-242. ISSN 1364-6613

Ghahramani, Z (2002) Graphical models: parameter learning. In: The Handbook of Brain Theory and Neural Networks. Bradford Books . MIT Press.

Hamilton, AF and Wolpert, DM (2002) Controlling the statistics of action: obstacle avoidance. Journal of Neurophysiology, 87. pp. 2434-2440. ISSN 0022-3077

Jackson, A and Spinks, RL and Freeman, TC and Wolpert, DM and Lemon, RN (2002) Rhythm generation in monkey motor cortex explored using pyramidal tract stimulation. Journal of Physiology, 541. pp. 685-699. ISSN 0022-3751

Jackson, A and Spinks, RL and Freeman, TC and Wolpert, DM and Lemon, RN (2002) Rhythm generation in monkey motor cortex explored using pyramidal tract stimulation. J Physiol, 541. pp. 685-699. ISSN 0022-3751

Jin, R and Ghahramani, Z (2002) Learning with Multiple Labels. In: UNSPECIFIED pp. 897-904..

Jones, KE and Hamilton, AF and Wolpert, DM (2002) Sources of signal-dependent noise during isometric force production. Journal of Neurophysiology, 88. pp. 1533-1544. ISSN 0022-3077

Korenberg, AT and Ghahramani, Z (2002) A Bayesian view of motor adaptation. Current Psychology of Cognition, 21. pp. 537-564. ISSN 0249-9185

Korenberg, AT and Ghahramani, Z (2002) A Bayesian view of motor adaptation. CAH PSYCHOL COGN, 21. pp. 537-564. ISSN 0249-9185

Lengyel, M and Szatmary, Z and Erdi, P (2002) Feed-forward networks in the hippocampus: analysis of the possible role of theta oscillation and the phase precession effect in sharpening the spatial tuning curves of place cells. In: Sixth International Conference on Cognitive and Neural Systems (ICCNS 2002), 2002-5-29 to 2002-6-1, Boston, MA.

Lengyel, M and Szatmary, Z and Erdi, P (2002) Sharpening the spatial tuning curves of place cells in a feed-forward network: the possible role of theta oscillation-based dynamics in the hippocampus. In: The Annual Computational Neuroscience Meeting (CNS 2002), 2002-7-21 to 2002-7-25, Chicago, IL.

Orban, G and Kiss, T and Lengyel, M and Erdi, P (2002) Controlling pyramidal cell activity by bistable gamma-frequency oscillations in a network of hippocampal interneurons. In: The Annual Computational Neuroscience Meeting (CNS 2002), 2002-7-21 to 2002-7-25, Chicago, Illinois, USA.

Osu, R and Franklin, DW and Kato, H and Gomi, H and Domen, K and Yoshioka, T and Kawato, M (2002) Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. J Neurophysiol, 88. pp. 991-1004. ISSN 0022-3077

Rasmussen, CE and Ghahramani, Z (2002) Bayesian Monte Carlo. In: UNSPECIFIED pp. 489-496..

Rasmussen, CE and Ghahramani, Z (2002) Infinite mixtures of Gaussian process experts. In: Advances in Neural Information Processing Systems 14: the 2001 Neural Information Processing Systems (NIPS) Conference, 2001-- to -- pp. 881-888..

Raval, A and Ghahramani, Z and Wild, DL (2002) A Bayesian network model for protein fold and remote homologue recognition. Bioinformatics, 18. pp. 788-801. ISSN 1460-2059

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2002) Expectation-conjugate gradient: an alternative to EM. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Tong, C and Wolpert, DM and Flanagan, JR (2002) Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study. Journal of Neuroscience, 22. pp. 1108-1113. ISSN 0270-6474

Ueda, N and Ghahramani, Z (2002) Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks, 15. pp. 1223-1241. ISSN 0893-6080

Van Beers, RJ and Baraduc, P and Wolpert, DM (2002) Role of uncertainty in sensorimotor control. Philosophical Transactions Royal Society of London Series B: Biological Sciences, 357. pp. 1137-1145. ISSN 0962-8436

Van Beers, RJ and Wolpert, DM and Haggard, P (2002) When feeling is more important than seeing in sensorimotor adaptation. Current Biology, 12. pp. 834-837. ISSN 0960-9822

Vetter, P and Flash, T and Wolpert, DM (2002) Planning movements in a simple redundant task. Current Biology, 12. pp. 488-491. ISSN 0960-9822

Wild, DL and Rasmussen, CE and Ghahramani, Z and Cregg, J and de la Cruz, BJ and Kan, CC and Scanlon, K (2002) A Bayesian approach to modelling uncertainty in gene expression clusters. In: 3rd International Conference on Systems Biology, 2002-- to --, Stockholm, Sweden.

Williams, CKI and Rasmussen, CE and Scwaighofer, A and Tresp, V (2002) Observations on the Nystrom method for Gaussian process prediction. Technical Report. University of Edinburgh and University College London, London, UK.

Wolpert, DM (2002) Computational capabilities of physical systems. Physical Review E: Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 65. p.016128-. ISSN 1539-3755

Zhu, X and Ghahramani, Z (2002) Learning from labels and unlabeled data with label propagation. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

Zhu, X and Ghahramani, Z and Lafferty, J (2002) Towards semi-supervised classification with Markov random fields. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

2001

(2001) Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada]. In: UNSPECIFIED.

Blakemore, SJ and Frith, CD and Wolpert, DM (2001) The cerebellum is involved in predicting the sensory consequences of action. Neuroreport, 12. pp. 1879-1884. ISSN 0959-4965

Burdet, E and Osu, R and Franklin, DW and Milner, TE and Kawato, M (2001) The central nervous system stabilizes unstable dynamics by learning optimal impedance. NATURE, 414. pp. 446-449. ISSN 0028-0836

Flanagan, JR and King, S and Wolpert, DM and Johansson, RS (2001) Sensorimotor prediction and memory in object manipulation. Canadian Journal of Experimental Psychology, 55. pp. 87-95. ISSN 1196-1961

Ghahramani, Z (2001) An introduction to hidden Markov models and Bayesian networks. In: Hidden Markov Models: Applications in Computer Vision. Series in Machine Perception and Artificial Intelligence, 45 . World Scientific Publishing, -.

Ghahramani, Z (2001) An introduction to hidden Markov models and Bayesian networks. International Journal of Pattern Recognition and Artificial Intelligence, 15. pp. 9-42. ISSN 0218-0014

Ghahramani, Z and Beal, MJ (2001) Graphical models and variational methods. In: Advanced Mean Field Methods: Theory and Practice. Neural Information Processing Series . MIT Press, Cambridge, MA, USA, pp. 161-177.

Ghahramani, Z and Beal, MJ (2001) Propagation algorithms for variational Bayesian learning. In: Advances in Neural Information Processing Systems 13. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 507-513.

Haruno, M and Wolpert, DM and Kawato, M (2001) Mosaic model for sensorimotor learning and control. Neural Computation, 13. pp. 2201-2220. ISSN 0899-7667

Kiss, T and Orban, G and Lengyel, M and Erdi, P (2001) Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons. Neurocomputing, 38-40. pp. 713-719. ISSN 0925-2312

Korenberg, AT and Ghahramani, Z (2001) Adaptation to switching force fields. In: 11th Annual Meeting of Neural Control of Movement, 2001-3-24 to 2001-4-1, Seville, Spain.

Korenberg, AT and Ghahramani, Z (2001) Adaptative feedback control for non-stationary dynamics. In: 3rd International Conference on Sensorimotor Control in Man and Machines, 2001-- to --, Marseille, France.

Misjak, F and Lengyel, M and Erdi, P (2001) Episodic memory and cognitive map in a rate model network of the rat hippocampus. In: The International Conference on Artificial Neural Networks - ICANN 2001, 2001-8-21 to 2001-8-25 pp. 1135-1140..

Orban, G and Kiss, T and Lengyel, M and Erdi, P (2001) Hippocampal rhythm generation: gamma-related theta-frequency resonance in CA3 interneurons. Biological Cybernetics, 84. pp. 123-132. ISSN 0340-1200

Rangel, C and Wild, DL and Falciani, F and Ghahramani, Z (2001) Modelling biological responses using gene expression profiling and linear dynamical systems. In: The 2nd International Conference on Systems Biology: The Future of Biology in the 21st Century (ICSB), 2001-11-4 to 2001-11-7, California, US pp. 248-256..

Rasmussen, CE and Ghahramani, Z (2001) Occam's razor. In: 14th Annual Conference on Advances on Neural Information Processing Systems, NIPS 2000, 2000-11- to --, Denver, CO, US pp. 294-300..

Roweis, ST and Ghahramani, Z (2001) Learning nonlinear dynamical systems using the expectation-maximization algorithm. In: Kalman Filtering and Neural Networks. Wiley and Sons, pp. 175-220.

Todorov, E and Ghahramani, Z (2001) A theory of optimal motor-sensory primitives. In: 11th Annual Meeting of Neural Control of Movement, 2001-3-24 to 2001-4-1, Seville, Spain.

Van Beers, RJ and Wolpert, DM and Haggard, P (2001) Sensorimotor integration compensates for visual localization errors. during smooth pursuit eye movements. Journal of Neurophysiology, 85. pp. 1914-1922. ISSN 0022-3077

Witney, AG and Vetter, P and Wolpert, DM (2001) The influence of previous experience on predictive motor control. Neuroreport, 12. pp. 649-653. ISSN 0959-4965

Wolpert, DM and Flanagan, JR (2001) Motor prediction. Current Biology, 11. pp. 729-732. ISSN 0960-9822

Wolpert, DM and Ghahramani, Z and Flanagan, JR (2001) Perspectives and problems in motor learning. Trends in Cognitive Sciences, 5. pp. 487-494. ISSN 1364-6613

Wolpert, DM and Ghahramani, Z and Flanagan, JR (2001) Perspectives and problems in motor learning. Trends in Cognitive Sciences, 5. pp. 487-494. ISSN 1364-6613

2000

Adams, NJ and Storkey, AJ and Ghahramani, Z and Williams, CKI (2000) MFDTs: mean field dynamic trees. In: The 15th International Conference on Pattern Recognition v.3, 2000-9- to --, Barcelona, Spain pp. 147-150..

Adams, NJ and Storkey, AJ and Williams, CKI and Ghahramani, Z (2000) MFDTs: Mean Field Dynamic Trees. In: UNSPECIFIED pp. 3151-3154..

Blakemore, SJ and Wolpert, D and Frith, C (2000) Why can't you tickle yourself? Neuroreport, 11. pp. 11-16. ISSN 0959-4965

Burdet, E and Osu, R and Franklin, DW and Yoshioka, T and Milner, TE and Kawato, M (2000) A method for measuring endpoint stiffness during multi-joint arm movements. J BIOMECH, 33. pp. 1705-1709. ISSN 0021-9290

Frith, CD and Blakemore, S and Wolpert, DM (2000) Explaining the symptoms of schizophrenia: abnormalities in the awareness of action. Brain Research Reviews, 31. pp. 357-363. ISSN 0165-0173

Frith, CD and Blakemore, SJ and Wolpert, DM (2000) Abnormalities in the awareness and control of action. Philosophical Transactions Royal Society of London, Series B: Biological Sciences, 355. pp. 1771-1788. ISSN 0962-8436

Ghahramani, Z (2000) Computational neuroscience: building blocks of movement. Nature, 407. pp. 682-683. ISSN 0028-0836

Ghahramani, Z (2000) Variational Bayesian learning. Bulletin of the Italian Artificial Intelligence Association (AI/IA Notizie), 13. pp. 13-18.

Ghahramani, Z and Beal, MJ (2000) Variational inference for Bayesian mixture of factor analysers. In: Advances in Neural Information Processing Systems 12. Bradford Series . MIT Press, pp. 449-455.

Ghahramani, Z and Hinton, GE (2000) Variational learning for switching state-space models. Neural Computation, 12. pp. 831-864. ISSN 0899-7667

Hamilton, AF and Jones, KE and Ghahramani, Z and Lemon, RN and Wolpert, DM (2000) The coding of movements in primary motor cortex: a TMS study. In: ICN-ISC Meeting, 2000-- to --, Lyons, France.

Hamilton, AF and Wolpert, DM (2000) A minimum variance model or obstacle avoidance. EUR J NEUROSCI, 12. p. 78. ISSN 0953-816X

Hinton, GE and Ghahramani, Z and Teh, YN (2000) Learning to parse images. In: Advances in Neural Information Processing Systems 12. Bradford Series . MIT Press, pp. 463-469.

Højen Sørensen, PA and Rasmussen, CE and Hansen, LK (2000) Bayesian modelling of fMRI time series. In: 13th Annual Conference on Advances in Neural Information Processing Systems, NIPS' 99, 1999-12- to -- pp. 754-760..

Jackson, A and Freeman, TCB and Spinks, RL and Wolpert, DM and Lemon, RN (2000) Effects of corticospinal activation on 15-35 hz oscillatory activity in macaque motor cortex. EUR J NEUROSCI, 12. p. 506. ISSN 0953-816X

Kiss, T and Orban, G and Lengyel, M and Erdi, P (2000) Hippocampal rhythm generation: gamma related theta frequency. In: European Meeting of Cybernetics and System Reseach (EMCSR 2000), 2000-4-25 to 2000-4-28, Vienna, Austria pp. 330-335..

Lengyel, M and Szatmary, Z and Erdi, P (2000) A detuned oscillator model of place unit phase precession in the rat hippocampus. In: The Annual Computational Neuroscience Meeting (CNS 2000), 2000-7-16 to 2000-7-20, Brugge, Belgium.

Rasmussen, CE (2000) The infinite Gaussian mixture model. In: 13th Annual Conference on Advances in Neural Information Processing Systems, NIPS' 99, 1999-12- to -- pp. 554-560..

Todorov, E and Ghahramani, Z (2000) Degrees of freedom and hand synergies in manipulation tasks. In: 10th Annual Meeting on the Neural Control of Movement, 2000-4-9 to 2000-4-14, Key West, FL, US.

Ueda, N and Ghahramani, Z (2000) Optimal model inference for Bayesian mixture of experts. In: The 2000 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing X v.1, 2000-12- to --, Sydney, Australia pp. 145-151..

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (2000) SMEM algorithm for mixture models. Neural Computation, 12. pp. 2109-2128. ISSN 0899-7667

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (2000) Split and merge EM algorithm for improving Gaussian mixture density estimates. Journal of VLSI Signal Processing, 26. pp. 133-140. ISSN 0922-5773

Vetter, P and Flash, T and Wolpert, DM (2000) Planning movements in a simple redundant task. EUR J NEUROSCI, 12. p. 76. ISSN 0953-816X

Vetter, P and Ghahramani, Z and Kawato, M and Wolpert, DM (2000) Multiple linear controllers for nonlinear and nonstationary dynamics. In: 10th Annual Meeting on the Neural Control of Movement, 2000-4-9 to 2000-4-14, Key West, FL, US.

Vetter, P and Wolpert, DM (2000) The CNS updates its context estimate in the absence of feedback. Neuroreport, 11. pp. 3783-3786. ISSN 0959-4965

Vetter, P and Wolpert, DM (2000) Context estimation for sensorimotor control. Journal of Neurophysiology, 84. pp. 1026-1034. ISSN 0022-3077

Wild, DL and Raval, A and Ghahramani, Z (2000) A Bayesian network model for protein fold and remote homologue recognition. In: 8th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2000-8- to --, La Jolla, CA, US.

Witney, AG and Goodbody, SJ and Wolpert, DM (2000) Learning and decay of prediction in object manipulation. Journal of Neurophysiology, 84. pp. 334-343. ISSN 0022-3077

Wolpert, DM and Ghahramani, Z (2000) Computational principles of movement neuroscience. Nature Neuroscience, 3. pp. 1212-1217. ISSN 1097-6256

Wolpert, DM and Ghahramani, Z (2000) Computational principles of movement neuroscience. Nature Neuroscience, 3. pp. 1212-1217. ISSN 1097-6256

Wolpert, DM and Ghahramani, Z (2000) Maps, modules, and internal models in human motor control. In: Biomechanics and Neural Control of Posture and Movement, Chapter 23. Springer, New York, USA, pp. 317-324.

van Beers, RJ and Haggard, P and Wolpert, DM (2000) Localisation during smooth-pursuit eye movements: different retinal areas are integrated with gaze signals from different moments in time. PERCEPTION, 29. pp. 7-8. ISSN 0301-0066

1999

Athwal, BS and Cole, JD and Wolpert, DM and Frith, C and Frackowiak, RSJ (1999) The role of proprioceptive feedback during movement: A PET study of a deafferented subject. NeuroImage, 9. ISSN 1053-8119

Baker, SN and Philbin, N and Spinks, R and Pinches, EM and Wolpert, DM and MacManus, DG and Pauluis, Q and Lemon, RN (1999) Multiple single unit recording in the cortex of monkeys using independently moveable microelectrodes. J Neurosci Methods, 94. pp. 5-17. ISSN 0165-0270

Bazso, F and Kepecs, A and Lengyel, M and Payrits, S and Szalisznyo, K and Zalanyi, L and Erdi, P (1999) Single cell and population activities in cortical-like systems. Reviews in the Neurosciences, 10. pp. 201-212. ISSN 0334-1763

Blakemore, SJ and Frith, CD and Wolpert, DM (1999) Spatio-temporal prediction modulates the perception of self-produced stimuli. Journal of Cognitive Neuroscience, 11. pp. 551-559. ISSN 0898-929X

Blakemore, SJ and Wolpert, DM and Frith, CD (1999) The cerebellum contributes to somatosensory cortical activity during self-produced tactile stimulation. Neuroimage, 10. pp. 448-459. ISSN 1053-8119

Blakemore, SJ and Wolpert, DM and Frith, CD (1999) The cerebellum is involved in predicting the sensory consequences of action. NeuroImage, 9. ISSN 1053-8119

Burdet, E and Osu, R and Franklin, D and Milner, TE and Kawato, M (1999) Measuring stiffness during arm movements in various dynamic environments. In: UNSPECIFIED pp. 421-428..

Ghahramani, Z (1999) Time for bayes: comments to Amari and Kohonen. In: Bulletin of the 52nd Seesion of the International Statistical Institute. International Statistical Institute, Finland, pp. 115-116.

Ghahramani, Z and Korenberg, A and Hinton, GE (1999) Scaling in a hierarchical unsupervised network. In: The 9th International Conference on Artificial Neural Networks; ICANN 99, 1999-9- to --, Edinburgh, UK pp. 13-18..

Ghahramani, Z and Roweis, S (1999) Learning nonlinear dynamical systems using an EM algorithm. In: Advances in Neural Information Processing Systems 11. MIT Press, Cambridge, MA, USA, pp. 431-437.

Goodbody, SJ and Wolpert, DM (1999) The effect of visuomotor displacements on arm movement paths. Experimental Brain Research, 127. pp. 213-223. ISSN 0014-4819

Haruno, M and Wolpert, DM and Kawato, M (1999) Multiple paired forward-inverse models for human motor learning and control. In: UNSPECIFIED pp. 31-37..

Jordan, MI and Ghahramani, Z and Jaakola, TS and Saul, LK (1999) An introduction to variational methods for graphical models. Machine Learning, 37. pp. 183-233. ISSN 0885-6125

Lengyel, M and Kepecs, A and Erdi, P (1999) Location dependent differences between somatic and dendritic IPSPs. Neurocomputing, 26-27. pp. 193-197. ISSN 0925-2312

Lengyel, M and Szatmary, Z and Erdi, P (1999) A detuned oscillator model of place unit phase precession in the rat hippocampus. In: 29th Annual Meeting of The Society for Neuroscience 1999, 1999-10- to --, Miami Beach, FL, USA.

Roweis, ST and Ghahramani, Z (1999) A Unifying Review of Linear Gaussian Models. Neural Computation, 11. pp. 305-345. ISSN 0899-7667

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1999) Pattern classification using a mixture of factor analyzers. In: The 9th Workshop on Neural Networks for Signal Processing (NNSP'99), 1999-8- to --, Madison, WI, US pp. 525-534..

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1999) SMEM algorithm for mixture models. In: Advances in Neural Information Processing Systems 11. MIT Press, Cambridge, MA, USA, pp. 599-605.

Vetter, P and Goodbody, SJ and Wolpert, DM (1999) Evidence for an eye-centered spherical representation of the visuomotor map. Journal of Neurophysiology, 81. pp. 935-939. ISSN 0022-3077

Witney, AG and Goodbody, SJ and Wolpert, DM (1999) Predictive motor learning of temporal delays. Journal of Neurophysiology, 82. pp. 2039-2048. ISSN 0022-3077

1998

Athwal, BS and Wolpert, DM and Frackowiak, RSJ (1998) Re-planning and execution of externally cued movements. NeuroImage, 7. ISSN 1053-8119

Blakemore, S-J and Wolpert, DM and Frith, CD (1998) Central cancellation of self-produced tickle sensation. Molecular Cell, 1. pp. 635-640. ISSN 1097-2765

Blakemore, SJ and Goodbody, SJ and Wolpert, DM (1998) Predicting the consequences of our own actions: the role of sensorimotor context estimation. Journal of Neuroscience, 18. pp. 7511-7518. ISSN 0270-6474

Blakemore, SJ and Wolpert, DM and Frith, CD (1998) Central cancellation of self-produced tickle sensation. Nature Neuroscience, 1. pp. 635-640. ISSN 1097-6256

Blakemorel, S-J and Wolpert, DM and Frith, CD (1998) Why can't we tickle ourselves? An fMRI study. NeuroImage, 7. ISSN 1053-8119

Erdi, P and Kepecs, A and Lengyel, M and Obermayer, K and Szatmary, Z (1998) Dynamics of the Hippocampus: multiple strategies. In: International Conference on Neural Information Processing (ICONIP 1998), 1998-10- to --, Kitakyushu, Japan pp. 777-780..

Ghahramani, Z (1998) Learning dynamic Bayesian networks. In: Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks. Lecture Notes in Computer Science: Lecture notes in Artificial Intelligence, 1387 . Springer, Berlin, Germany, pp. 168-197.

Ghahramani, Z and Hinton, GE (1998) Hierarchical non-linear factor analysis and topographic maps. In: Advances in Neural Information Processing Systems 10. Bradford Series . MIT Press, Cambridge, MA, USA, Part III-.

Ghahramani, Z and Hinton, GE (1998) Hierarchical non-linear factor analysis and topographic maps. In: UNSPECIFIED pp. 486-492..

Goodbody, SJ and Wolpert, DM (1998) Temporal and amplitude generalization in motor learning. Journal of Neurophysiology, 79. pp. 1825-1838. ISSN 0022-3077

Harris, CM and Wolpert, DM (1998) Signal-dependent noise determines motor planning. Nature -London, 394. pp. 780-784. ISSN 0028-0836

Hinton, GE and Sallans, B and Ghahramani, Z (1998) A hierarchical community of experts. In: Learning in Graphical Models. NATO ASI Series D: Behavioural and Social Sciences, 89 . Kluwer Academic Publishers, Boston, MA, USA, pp. 474-494.

Hinton, GE and Sallans, B and Ghahramani, Z (1998) A hierarchical community of experts. In: UNSPECIFIED pp. 479-494..

Jordan, MI and Ghahramani, Z and Jaakola, TS and Saul, LK (1998) An introduction to variational methods in graphical models. In: Learning in Graphical Models. NATO ASI Series D: Behavioural and Social Sciences, 89 . Kluwer Academic Publishers, Boston, MA, USA, pp. 105-161.

Kawato, M and Wolpert, DM (1998) Internal models for motor control. In: Symposium on Sensory Guidance of Movement, 1998-1-20 to 1998-1-22, London, UK pp. 291-303..

Milner, TE and Franklin, DW (1998) Characterization of multijoint finger stiffness: Dependence on finger posture and force direction. IEEE T BIO-MED ENG, 45. pp. 1363-1375. ISSN 0018-9294

Sabes, PN and Jordan, MI and Wolpert, DM (1998) The role of inertial sensitivity in motor planning. Journal of Neuroscience, 18. pp. 5948-5957. ISSN 0270-6474

Sallans, B and Hinton, GE and Ghahramani, Z (1998) A hierarchical community of experts. In: Neural Networks and Machine Learning. NATO ASI Series F: Computer and Systems Sciences . Springer, Berlin, Germany, pp. 269-284.

Szatmary, Z and Lengyel, M and Erdi, P and Obermayer, K (1998) Using temporal associations to model the development of place fields in a novel environment. In: Federation of European Neuroscience Societies (FENS 1998), 1998-6-27 to 1998-7-1, Berlin, Germany.

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1998) Split and merge EM algorithm for improving Gaussian mixture density estimates. In: The 8th Workshop on Neural Networks for Signal Processing, 1998-8- to --, Cambridge, UK pp. 274-283..

Wild, D and Ghahramani, Z (1998) A Bayesian network approach to protein fold recognition. In: 6th International Conference on Intelligent Systems for Molecular Biology (ISMB), 1998-6- to --, Montreal, Canada.

Wolpert, DM and Goodbody, SJ and Husain, M (1998) Maintaining internal representations: The role of the human superior parietal lobe. Molecular Cell, 1. pp. 529-533. ISSN 1097-2765

Wolpert, DM and Goodbody, SJ and Husain, M (1998) Maintaining internal representations: the role of the human superior parietal lobe. Nature Neuroscience, 1. pp. 529-533. ISSN 1097-6256

Wolpert, DM and Kawato, M (1998) Multiple paired forward and inverse models for motor control. Neural Networks, 11. pp. 1317-1329. ISSN 0893-6080

Wolpert, DM and Miall, RC and Kawato, M (1998) Internal models in the cerebellum. Trends Cogn Sci, 2. pp. 338-347. ISSN 1364-6613

1997

Cohn, DA and Ghahramani, Z and Jordan, MI (1997) Active learning with mixture models. In: Multiple Model Approaches to Modelling and Control. Taylor and Francis, London, UK, pp. 167-183.

Ghahramani, Z and Jordan, MI (1997) Factorial hidden Markov models. Machine Learning, 29. pp. 245-273. ISSN 0885-6125

Ghahramani, Z and Jordan, MI (1997) Mixture models for learning from incomplete data. In: Making Learning Systems Practical. Computational Learning Theory and Natural Learning Systems., 4 . MIT Press, Cambridge, MA, USA, pp. 67-85.

Ghahramani, Z and Wolpert, DM (1997) Modular decomposition in visuomotor learning. Nature, 386. pp. 392-394. ISSN 0028-0836

Ghahramani, Z and Wolpert, DM (1997) Modular decomposition in visuomotor learning. Nature - London, 386. pp. 392-395. ISSN 0028-0836

Ghahramani, Z and Wolpert, DM and Jordan, MI (1997) Computational models of sensorimotor integration. In: Self-Organization, Computational Maps, and Motor Control. Advances in Psychology, 119 . North Holland Publishing Company, Amsterdam, Netherlands, pp. 117-147.

Hinton, GE and Ghahramani, Z (1997) Generative models for discovering sparse distributed representations. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 352. pp. 1177-1190. ISSN 0962-8436

Jordan, MI and Ghahramani, Z and Saul, LK (1997) Hidden Markov decision trees. In: Advances in Neural Information Processing Systems 9. Bradford Series . MIT Press, pp. 501-507.

Wolpert, DM (1997) Computational approaches to motor control. Trends Cogn Sci, 1. pp. 209-216. ISSN 1364-6613

Wolpert, DM (1997) Internal models in human motor control: A computational and psychophysical perspective. J PHYSIOL-LONDON, 501P. S12-S12. ISSN 0022-3751

1996

Adorjan, P and Barna, G and Erdi, P and Grobler, T and Kepecs, A and Lengyel, M and Ventriglia, F (1996) Multicompartmental modeling of hippocampal pyramidal cells and interneurons with the GENESIS software tool. In: UNSPECIFIED pp. 247-250..

Cohn, DA and Ghahramani, Z and Jordan, MI (1996) Active Learning with Statistical Models. CoRR, cs.AI/.

Cohn, DA and Ghahramani, Z and Jordan, MI (1996) Active learning with statistical models. Journal of Artificial Intelligence Research, 4. pp. 129-145. ISSN 1076-9757

Ghahramani, Z and Hinton, GE (1996) The EM algorithm for mixtures of factor analyzers. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Ghahramani, Z and Hinton, GE (1996) Parameter estimation for linear dynamical systems. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Ghahramani, Z and Jordan, MI (1996) Factorial hidden Markov models. In: Advances in Neural Information Processing Systems 8. MIT Press, Cambridge, MA, USA, pp. 472-478.

Ghahramani, Z and Wolpert, DM and Jordan, MI (1996) Generalization to local remappings of the visuomotor coordinate transformation. Journal of Neuroscience, 16. pp. 7085-7096. ISSN 0270-6474

Ghahramani, Z and Wolpert, DM and Jordan, MI (1996) Generalization to local remappings of the visuomotor coordinate transformation. Journal of Neuroscience, 16. pp. 7085-7096. ISSN 0270-6474

Rasmussen, CE (1996) Evaluation of Gaussian processes and other methods for non-linear regression. PhD thesis, UNSPECIFIED.

Rasmussen, CE (1996) A practical Monte Carlo implementation of Bayesian learning. In: 9th Annual Conference on Advances in Neural Information Processing Systems, NIPS' 95, 1995-11- to --, Denver, Colorado, USA pp. 598-604..

Rasmussen, CE and Neal, RM and Hinton, GE and Van Camp, D and Revow, M and Ghahramani, Z and Kustra, R and Tibshirani, R (1996) The delve manual. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Williams, CKI and Rasmussen, CE (1996) Gaussian processes for regression. In: 9th Annual Conference on Advances in Neural Information Processing Systems, NIPS' 95, 1995-11- to --, Denver, Colorado, USA.

Wolpert, DM and Miall, RC (1996) Forward models for physiological motor control. Neural Networks, 9. pp. 1265-1279. ISSN 0893-6080

Wolpert, DM and Wolf, DR (1996) Estimating functions of probability distributions from a finite set of samples. Physical Review E: Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 54. p.6973-. ISSN 1063-651X

1995

Cohn, DA and Ghahramani, Z and Jordan, MI (1995) Active learning with statistical models. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 705-712.

Ghahramani, Z (1995) Computation and psychophysics of sensorimotor integration. PhD thesis, UNSPECIFIED.

Ghahramani, Z (1995) Factorial learning and the EM algorithm. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 617-624.

Ghahramani, Z and Jordan, MI (1995) Supervised learning from incomplete data using an EM approach. In: Advances in Neural Information Processing Systems 6. Morgan Kaufmann Publishers, pp. 120-127.

Ghahramani, Z and Wolpert, DM and Jordan, MI (1995) Computational principles of multisensory integration: studies of adaptation to novel visuo-auditory remappings. Society for Neuroscience Abstracts, 21. p.1181-.

Ghahramani, Z and Wolpert, DM and Jordan, MI (1995) Computational structure of coordinate transformations: a generalization study. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1125-1132.

MIALL, RC and WOLPERT, DM (1995) THE CEREBELLUM AS A PREDICTIVE MODEL OF THE MOTOR SYSTEM - A SMITH PREDICTOR HYPOTHESIS. In: UNSPECIFIED pp. 215-223..

Milner, TE and Cloutier, C and Leger, AB and Franklin, DW (1995) Inability to activate muscles maximally during cocontraction and the effect on joint stiffness. EXP BRAIN RES, 107. pp. 293-305. ISSN 0014-4819

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study. Experimental Brain Research, 103. pp. 460-470. ISSN 0014-4819

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study. Experimental Brain Research, 103. pp. 460-470. ISSN 0014-4819

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) Forward dynamic models in human motor control: psychophysical evidence. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 43-50.

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) An internal model for sensorimotor integration. Science, 269. pp. 1880-1882. ISSN 0036-8075

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) An internal model for sensorimotor integration. Science, 269. pp. 1880-1882. ISSN 0036-8075

Wolpert, DM and Wolf, DR (1995) Estimating functions of probability distributions from a finite set of samples. Physical Review E: Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 52. pp. 6841-6854. ISSN 1063-651X

1994

Hansen, LK and Rasmussen, CE (1994) Pruning from adaptive regularization. Neural Computation, 6. pp. 1223-1231. ISSN 0899-7667

MIALL, RC and HAGGARD, PN and WOLPERT, DM (1994) THE CURVATURE OF POINT-TO-POINT ARM MOVEMENTS AND PERCEPTION OF CURVATURE IN BLIND SUBJECTS. J PHYSIOL-LONDON, 480P. P46-P46. ISSN 0022-3751

Wolpert, DM and Ghahramani, Z and Jordan, MI (1994) Perceptual distortion contributes to the curvature of human reaching movements. Experimental Brain Research, 98. pp. 153-156. ISSN 0014-4819

Wolpert, DM and Ghahramani, Z and Jordan, MI (1994) Perceptual distortion contributes to the curvature of human reaching movements. Experimental Brain Research, 98. pp. 153-156. ISSN 0014-4819

1993

Ghahramani, Z (1993) Solving inverse problems using an EM approach to density estimation. In: The 1993 Connectionist Models Summer School, 1993-- to --, Boulder, CO, US pp. 316-323..

Miall, RC and Weir, DJ and Wolpert, DM and Stein, JF (1993) Is the cerebellum a Smith predictor? Journal of Motor Behavior, 25. pp. 203-216. ISSN 0022-2895

Rasmussen, CE and Willshaw, DJ (1993) Presynaptic and postsynaptic competition in models for the development of neuromuscular connections. Biological Cybernetics, 68. pp. 409-419. ISSN 0340-1200

WOLPERT, DM and MIALL, RC and CUMMING, B and BONIFACE, S (1993) ADAPTATION TO VISUAL PROCESSING TIME DELAYS MEASURED WITH THE PULFRICH EFFECT. J PHYSIOL-LONDON, 459. P131-P131. ISSN 0022-3751

Wolpert, DM and Miall, RC and Cumming, B and Boniface, SJ (1993) Retinal adaptation of visual processing time delays. Vision Res, 33. pp. 1421-1430. ISSN 0042-6989

Wolpert, DM and Miall, RC and Kerr, GK and Stein, JF (1993) Ocular limit cycles induced by delayed retinal feedback. Experimental Brain Research, 96. pp. 173-180. ISSN 0014-4819

Wolpert, DM and Miall, RC and Kerr, GK and Stein, JF (1993) Retinal adaptation of visual processing time delays. Vision Research, 96. pp. 173-180. ISSN 0042-6989

1992

Wolpert, DM and Miall, RC and Winter, JL and Stein, JF (1992) Evidence for an error deadzone in compensatory tracking. Journal of Motor Behavior, 24. pp. 299-308. ISSN 0022-2895

1991

Ghahramani, Z and Allen, RB (1991) Temporal processing with connectionist networks. In: The International Joint Conference on Neural Networks (IJCNN'91), 1991-11- to --, Seattle, WA, US pp. 541-546..

1990

Ghahramani, Z (1990) A neural network for learning how to parse tree adjoining grammars. Other thesis, UNSPECIFIED.

WOLPERT, DM and MIALL, RC (1990) DETECTING CHAOS WITH NEURAL NETWORKS. P ROY SOC LOND B BIO, 242. pp. 82-86. ISSN 0962-8452

1988

Dye, C and Wolpert, DM (1988) Earthquakes, influenza and cycles of Indian kala-azar. Trans R Soc Trop Med Hyg, 82. pp. 843-850. ISSN 0035-9203

NULL

Freer, CE and Roy, D and Tenenbaum, JB Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. In: Turing's Legacy. Lecture Notes in Logic . Association of Symbolic Logic. (Unpublished)

Leung, G and Quadrianto, N and Smola, AJ and Tsioutsiouliklis, K Optimal Web-Scale Tiering as a Flow Problem. In: Advances in Neural Information Processing Systems, 2010-12-6 to 2010-12-9, British Columbia, Canada pp. 1333-1341.. (Unpublished)

Lloyd, JR and Orbanz, P and Ghahramani, Z and Roy, D Random function priors for exchangeable arrays with applications to graphs and relational data. In: Neural Information Processing Systems, 2012-12-3 to 2012-12-10, South Lake Tahoe, Nevada. (Unpublished)

Quadrianto, N and Buntine, WL Linear Discriminant. In: Encyclopedia of Machine Learning. Springer. (Unpublished)

Quadrianto, N and Buntine, WL Linear Regression. In: Encyclopedia of Machine Learning. Springer. (Unpublished)

Quadrianto, N and Buntine, WL Regression. In: Encyclopedia of Machine Learning. Springer. (Unpublished)

Quadrianto, N and Kersting, K and Xu, Z Gaussian Process. In: Encyclopedia of Machine Learning. Springer. (Unpublished)

Rasmussen, CE and Nickisch, H Gaussian Processes for Machine Learning. (Unpublished)

Vogels, TP and Froemke, RC and Doyon, N and Gilson, M and Haas, JS and Liu, R and Maffei, A and Miller, P and Wierenga, C and Woodin, MA and Zenke, F and Sprekeler, H Inhibitory Synaptic Plasticity - Spike timing dependence and putative network function. Frontiers in Neural Circuits, 7. (Unpublished)

This list was generated on Wed Oct 22 22:20:12 2014 BST.