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Number of items: 74.

A

Ahrens, M.B. (2009) Nonlinear encoding of sounds in the auditory cortex. Doctoral thesis, UCL (University College London).

Asuncion, A and Welling, M and Smyth, P and Teh, YW (2009) On Smoothing and Inference for Topic Models. In: Proceedings of the International Conference on Uncertainty in Artificial Intelligence.

B

Beierholm, UR and Quartz, SR and Shams, L (2009) Bayesian priors are encoded independently from likelihoods in human multisensory perception. J VISION , 9 (5) , Article 23. 10.1167/9.5.23.
An open access publication

Berkes, P and Turner, RE and Sahani, M (2009) A Structured Model of Video Reproduces Primary Visual Cortical Organisation. PLOS COMPUT BIOL , 5 (9) , Article e1000495. 10.1371/journal.pcbi.1000495.
An open access publication

Biessmann, F and Meinecke, F and Gretton, A and Rauch, A and Rainer, G and Logothetis, N and Mueller, K-R (2009) Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis. Machine Learning

Blaschko, M and Gretton, A (2009) Learning Taxonomies by Dependence Maximization. In: Advances in Neural Information Processing Systems 21. (pp. 153 - 160). MIT Press

C

Coen-Cagli, R and Dayan, P and Schwartz, O (2009) Statistical models of linear and non-linear contextual interactions in early visual processing. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference 369 - 377.

D

Dayan, P (2009) Dopamine, Reinforcement Learning, and Addiction. PHARMACOPSYCHIATRY , 42 S56 - S65. 10.1055/s-0028-1124107.

Dayan, P (2009) Goal-directed control and its antipodes. NEURAL NETWORKS , 22 (3) 213 - 219. 10.1016/j.neunet.2009.03.004.

Dayan, P (2009) Load and attentional bayes. In: Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. (pp. 369 - 376).

Dayan, P (2009) Prospective and retrospective temporal difference learning. NETWORK-COMP NEURAL , 20 (1) 32 - 46. 10.1080/09548980902759086.

Dayan, P and Huys, QJM (2009) Serotonin in Affective Control. ANNU REV NEUROSCI , 32 95 - 126. 10.1146/annurev.neuro.051508.135607.

den Ouden, HEM and Friston, KJ and Daw, ND and McIntosh, AR and Stephan, KE (2009) A Dual Role for Prediction Error in Associative Learning. CEREB CORTEX , 19 (5) 1175 - 1185. 10.1093/cercor/bhn161.
An open access publication

Doshi, F and Miller, K and Gael, JV and Teh, YW (2009) Variational Inference for the Indian Buffet Process. In: Journal of Machine Learning Research - Proceedings Track. (pp. 137 - 144).

F

Fukumizu, K and Sriperumbudur, B and Gretton, A and Schoelkopf, B (2009) Characteristic Kernels on Groups and Semigroups. In: Advances in Neural Information Processing Systems 21. (pp. 473 - 480). Curran Associates Inc.: Red Hook, NY.

G

Ganguli, S and Latham, P (2009) Feedforward to the past: the relation between neuronal connectivity, amplification, and short-term memory. Neuron , 16 499 - 501.

Gerwinn, S and Macke, J and Bethge, M (2009) Bayesian population decoding of spiking neurons. FRONT COMPUT NEUROSC , 3 , Article 21. 10.3389/neuro.10.021.2009.
An open access publication

Grabska-Barwinska, A and Distler, C and Hoffmann, KP and Jancke, D (2009) Contrast independence of cardinal preference: stable oblique effect in orientation maps of ferret visual cortex. EUR J NEUROSCI , 29 (6) 1258 - 1270. 10.1111/j.1460-9568.2009.06656.x.

Gretton, A and Fukumizu, K and Harchaoui, Z and Sriperumbudur, B (2009) A Fast, Consistent Kernel Two-Sample Test. In: Advances in Neural Information Processing Systems 22. Curran Associates Inc.: Red Hook, NY.

Gretton, A and Fukumizu, K and Sriperumbudur, B (2009) Discussion of: Brownian distance covariance. The Annals of Applied Statistics , 3 , Article 4.

Gretton, A and Fukumizu, K and Sriperumbudur, B (2009) Discussion of: Brownian Distance Covariance. The Annals of Applied Statistics , 3 , Article 4.

Gretton, A and Gyorfi, L (2009) Consistent Nonparametric Tests of Independence.

H

Haffari, G and Teh, YW (2009) Hierarchical Dirichlet Trees for Information Retrieval. In: HLT-NAACL. (pp. 173 - 181). The Association for Computational Linguistics

Hassabis, D and Chu, C and Rees, G and Weiskopf, N and Molyneux, PD and Maguire, EA (2009) Decoding Neuronal Ensembles in the Human Hippocampus. CURR BIOL , 19 (7) 546 - 554. 10.1016/j.cub.2009.02.033.
An open access publication

Hassabis, D and Maguire, EA (2009) The construction system of the brain. PHILOS T R SOC B , 364 (1521) 1263 - 1271. 10.1098/rstb.2008.0296.
An open access publication

Hassabis, D. and Maguire, E. A. (2009) The construction system of the brain. Philosophical Transactions of the Royal Society B: Biological Sciences , 364 (1521) pp. 1263-1271. 10.1098/rstb.2008.0296.

Heller, KA and Teh, YW and Görür, D (2009) Infinite Hierarchical Hidden Markov Models. In: Journal of Machine Learning Research - Proceedings Track. (pp. 224 - 231).

Huys, QJM and Dayan, P (2009) A Bayesian formulation of behavioral control. COGNITION , 113 (3) 314 - 328. 10.1016/j.cognition.2009.01.008.

Huys, QJM and Vogelstein, JT and Dayan, P (2009) Psychiatry: Insights into depression through normative decision-making models. In: Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. (pp. 729 - 736).

J

Jacobs, AL and Fridman, G and Douglas, RM and Alam, NM and Latham, PE and Prusky, GT and Nirenberg, S (2009) Ruling out and ruling in neural codes. P NATL ACAD SCI USA , 106 (14) 5936 - 5941. 10.1073/pnas.0900573106.

Jegelka, S and Gretton, A and Schoelkopf, B and Sriperumbudur, B and Luxburg, UV (2009) Generalized clustering via kernel embeddings. In: KI: Advances in Artificial Intelligence. (pp. 144 - 152). Springer: Berlin.

K

Krueger, KA and Dayan, P (2009) Flexible shaping: How learning in small steps helps. COGNITION , 110 (3) 380 - 394. 10.1016/j.cognition.2008.11.014.

Kumaran, D and Summerfield, JJ and Hassabis, D and Maguire, EA (2009) Tracking the Emergence of Conceptual Knowledge during Human Decision Making. NEURON , 63 (6) 889 - 901. 10.1016/j.neuron.2009.07.030.
An open access publication

L

Lücke, J and Turner, RE and Sahani, M and Henniges, M (2009) Occlusive Components Analysis. In: nips. Curran Associates, Inc.

Lengyel, M and Dayan, P (2009) Hippocampal contributions to control: The third way. In: Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.

Linden, JF and Orduna, I and Ahrens, MB and Williamson, RS and Mercado, E and Merzenich, MM and Sahani, M (2009) Auditory learning involving complex sounds affects nonlinear integration within cortical responses. In: Association for Research in Otolaryngology Abstracts.

M

Macke, JH and Berens, P and Ecker, AS and Tolias, AS and Bethge, M (2009) Generating Spike Trains with Specified Correlation Coefficients. NEURAL COMPUT , 21 (2) 397 - 423.

Mnih, A and Yuecheng, Z and Hinton, GE (2009) Improving a statistical language model through non-linear prediction. Neurocomputing , 72 1414 - 1418.

Mnih, A and Zhang, YC and Hinton, G (2009) Improving a statistical language model through non-linear prediction. In: NEUROCOMPUTING. (pp. 1414 - 1418). ELSEVIER SCIENCE BV

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. PSYCHOL SCI , 20 (8) 955 - 962.
An open access publication

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. J NEUROSCI , 29 (39) 12236 - 12243. 10.1523/JNEUROSCI.2378-09.2009.
An open access publication

Mortimer, D and Feldner, J and Vaughan, T and Vetter, I and Pujic, Z and Rosoff, WJ and Burrage, K and Dayan, P and Richards, LJ and Goodhill, GJ (2009) A Bayesian model predicts the response of axons to molecular gradients. P NATL ACAD SCI USA , 106 (25) 10296 - 10301. 10.1073/pnas.0900715106.

P

Peters, J and Janzing, D and Gretton, A and Schoelkopf, B (2009) Detecting the Direction of Causal Time Series. In: Proceedings of the 26th International Conference on Machine Learning. ACM Press

Petreska, B (2009) Interview with Biljana Petreska, Ecole Polytechnique Federale de Lausanne, Switzerland. IEEE COMPUT INTELL M , 4 (1) 7 - +. 10.1109/MCI.2008.930982.

Petreska, B and Billard, A (2009) Movement curvature planning through force field internal models. BIOL CYBERN , 100 (5) 331 - 350. 10.1007/s00422-009-0300-2.

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 1464 - 1472.

R

Rao, V and Teh, YW (2009) Spatial Normalized Gamma Processes. In: Advances in Neural Information Processing Systems.

Ray, D and King-Casas, B and Montague, PR and Dayan, P (2009) Bayesian model of behaviour in economic games. In: Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. (pp. 1345 - 1352).

Roudi, Y and Nirenberg, S and Latham, PE (2009) Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't. PUBLIC LIBRARY SCIENCE
An open access publication

S

Sejdinovic, D and Piechocki, RJ and Doufexi, A and Ismail, M (2009) Fountain Code Design for Data Multicast with Side Information. IEEE T WIREL COMMUN , 8 (10) 5155 - 5165. 10.1109/TWC.2009.081076.

Sejdinovic, D and Piechocki, RJ and Doufexi, A (2009) AND-OR Tree Analysis of Distributed LT Codes. In: ITW: 2009 IEEE INFORMATION THEORY WORKSHOP ON NETWORKING AND INFORMATION THEORY. (pp. 261 - 265). IEEE

Sejdinovic, D and Vukobratovic, D and Doufexi, A and Senk, V and Piechocki, RJ (2009) Expanding Window Fountain Codes for Unequal Error Protection. In: IEEE TRANSACTIONS ON COMMUNICATIONS. (pp. 2510 - 2516). IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Sahani, M and Ahrens, MB and Linden, JF (2009) Contextual effects in neuronal responses to complex acoustic stimuli differ between areas AI and AAF. In: Association for Research in Otolaryngology Abstracts.

Santhanam, G and Yu, BM and Gilja, V and Ryu, SI and Afshar, A and Sahani, M and Shenoy, KV (2009) Factor-Analysis Methods for Higher-Performance Neural Prostheses. J NEUROPHYSIOL , 102 (2) 1315 - 1330. 10.1152/jn.00097.2009.

Schwartz, O and Sejnowski, TJ and Dayan, P (2009) Perceptual organization in the tilt illusion. J VISION , 9 (4) , Article 19. 10.1167/9.4.19.
An open access publication

Shen, H and Jegelka, S and Gretton, A (2009) Fast Kernel-Based Independent Component Analysis. IEEE Transactions on Signal Processing , 57 3498 - 3511.

Sriperumbudur, B and Fukumizu, K and Gretton, A and Lanckriet, G and Schoelkopf, B (2009) Kernel choice and classifiability for RKHS embeddings of probability distributions. In: Advances in Neural Information Processing Systems 22. Curran Associates Inc.: Red Hook, NY.

Sriperumbudur, BK and Fukumizu, K and Gretton, A and Schölkopf, B and Lanckriet, GRG (2009) On integral probability metrics, φ-divergences and binary classification.

Sriperumbudur, BK and Gretton, A and Fukumizu, K and Schölkopf, B and Lanckriet, GRG (2009) Hilbert space embeddings and metrics on probability measures.

Summerfield, JJ and Hassabis, D and Maguire, EA (2009) Cortical midline involvement in autobiographical memory. NEUROIMAGE , 44 (3) 1188 - 1200. 10.1016/j.neuroimage.2008.09.033.
An open access publication

T

Talmi, D and Dayan, P and Kiebel, SJ and Frith, CD and Dolan, RJ (2009) How Humans Integrate the Prospects of Pain and Reward during Choice. J NEUROSCI , 29 (46) 14617 - 14626. 10.1523/JNEUROSCI.2026-09.2009.
An open access publication

Teh, YW and Görür, D (2009) Indian Buffet Processes with Power-law Behavior. In: Advances in Neural Information Processing Systems.

Thoma, M and Cheng, H and Gretton, A and Han, J and Kriegel, H-P and Smola, A and Song, L and Yu, P and Yan, X and Borgwardt, K (2009) Near-optimal supervised feature selection among frequent subgraphs. In: Proccedings of the 2009 SIAM Conference on Data Mining.

Tillman, R and Gretton, A and Spirtes, P (2009) Nonlinear directed acyclic structure learning with weakly additive noise models. In: Advances in Neural Information Processing Systems 22. Curran Associates Inc.: Red Hook, NY.

V

Vukobratovic, D and Stankovic, V and Sejdinovic, D and Stankovic, L and Xiong, ZX (2009) Scalable Video Multicast Using Expanding Window Fountain Codes. In: IEEE TRANSACTIONS ON MULTIMEDIA. (pp. 1094 - 1104). IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Vukobratovic, D and Stankovic, V and Sejdinovic, D and Stankovic, L and Xiong, Z (2009) Scalable Video Multicast Using Expanding Window Fountain Codes. IEEE Transactions on Multimedia , 11 (6) 1094 - 1104. 10.1109/TMM.2009.2026087.

W

Wood, F and Archambeau, C and Gasthaus, J and James, L and Teh, YW (2009) A stochastic memoizer for sequence data. In: Danyluk, AP and Bottou, L and Littman, ML, (eds.) ICML. (pp. 142 - 142). ACM

Wood, F and Teh, YW (2009) A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation. In: Journal of Machine Learning Research - Proceedings Track. (pp. 607 - 614).

Wu, JH and Xu, H and Dayan, P and Qian, N (2009) The Role of Background Statistics in Face Adaptation. J NEUROSCI , 29 (39) 12035 - 12044. 10.1523/JNEUROSCI.2346-09.2009.

Y

Yu, AJ and Dayan, P and Cohen, JD (2009) Dynamics of Attentional Selection Under Conflict: Toward a Rational Bayesian Account. J EXP PSYCHOL HUMAN , 35 (3) 700 - 717. 10.1037/a0013553.

Yu, BM and Cunningham, JP and Santhanam, G and Ryu, SI and Shenoy, KV and Sahani, M (2009) Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity. J NEUROPHYSIOL , 102 (1) 614 - 635. 10.1152/jn.90941.2008.

Yu, BM and Cunningham, JP and Santhanam, G and Ryu, SI and Shenoy, KV and Sahani, M (2009) Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity (vol 102, pg 614, 2009). J NEUROPHYSIOL , 102 (3) 2008 - 2008. 10.1152/jn.z9k-9684-corr.2009.

Yu, BM and Cunningham, JP and Santhanam, G and Ryu, SI and Shenoy, KV and Sahani, M (2009) Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. In: Koller, D and Schuurmans, D and Bengio, Y and Bottou, L, (eds.) (Proceedings) Advances in Neural Information Processing Systems. MIT Press: Cambridge, MA.

Z

Zhang, X and Song, L and Gretton, A and Smola, A (2009) Kernel Measures of Independence for non-iid Data. In: Advances in Neural Information Processing Systems 22. (pp. 1937 - 1944). MIT Press

This list was generated on Tue May 21 10:24:38 2013 BST.