Peter Dayan

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Read MontagueProfessor of Physics, Virginia TechAdresse e-mail validée de vtc.vt.edu
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
Quentin HuysProfessor, University College LondonAdresse e-mail validée de ucl.ac.uk
Ben SeymourUniversity of OxfordAdresse e-mail validée de ndcn.ox.ac.uk
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoAdresse e-mail validée de salk.edu
Chris WatkinsProfessor in Computer Science, Royal HollowayAdresse e-mail validée de rhul.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorAdresse e-mail validée de columbia.edu
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
John P. O'DohertyFletcher Jones Professor of Decison Neuroscience, California Institute of TechnologyAdresse e-mail validée de caltech.edu
Marc Guitart MasipAssociate professorAdresse e-mail validée de ki.se
Karl FristonUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Zeb Kurth-NelsonDeepMind, UCLAdresse e-mail validée de google.com
Angela J. YuAvH AI Professor, Centre of Cognitive Science, TU DarmstadtAdresse e-mail validée de angelayu.org
Máté LengyelProfessor of Computational Neuroscience, University of Cambridge; Senior Research Fellow, CEUAdresse e-mail validée de eng.cam.ac.uk
Sham M KakadeHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Adresse e-mail validée de utstat.toronto.edu
Robb RutledgeYale UniversityAdresse e-mail validée de yale.edu
Geoffrey GoodhillWashington University in St LouisAdresse e-mail validée de wustl.edu

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Peter Dayan

MPI for Biological Cybernetics

Adresse e-mail validée de tue.mpg.de - Page d'accueil

Theoretical Neuroscience


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Q-Learning CJCH Watkins, P Dayan Machine Learning 8 (3), 279-292, 1992	20923	1992
A neural substrate of prediction and reward W Schultz, P Dayan, PR Montague Science 275 (5306), 1593-1599, 1997	11666	1997
Theoretical neuroscience: computational and mathematical modeling of neural systems P Dayan, LF Abbott MIT press, 2005	7457	2005
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control ND Daw, Y Niv, P Dayan Nature neuroscience 8 (12), 1704-1711, 2005	3061	2005
Cortical substrates for exploratory decisions in humans ND Daw, JP O'doherty, P Dayan, B Seymour, RJ Dolan Nature 441 (7095), 876-879, 2006	2643	2006
A framework for mesencephalic dopamine systems based on predictive Hebbian learning PR Montague, P Dayan, TJ Sejnowski Journal of neuroscience 16 (5), 1936-1947, 1996	2580	1996
Dissociable roles of ventral and dorsal striatum in instrumental conditioning J O'Doherty, P Dayan, J Schultz, R Deichmann, K Friston, RJ Dolan science 304 (5669), 452-454, 2004	2542	2004
Uncertainty, neuromodulation, and attention JY Angela, P Dayan Neuron 46 (4), 681-692, 2005	2086	2005
Model-based influences on humans' choices and striatal prediction errors ND Daw, SJ Gershman, B Seymour, P Dayan, RJ Dolan Neuron 69 (6), 1204-1215, 2011	2060	2011
Temporal difference models and reward-related learning in the human brain JP O'Doherty, P Dayan, K Friston, H Critchley, RJ Dolan Neuron 38 (2), 329-337, 2003	1843	2003
The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995	1766	1995
The" wake-sleep" algorithm for unsupervised neural networks GE Hinton, P Dayan, BJ Frey, RM Neal Science 268 (5214), 1158-1161, 1995	1602	1995
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning J Gläscher, N Daw, P Dayan, JP O'Doherty Neuron 66 (4), 585-595, 2010	1435	2010
Goals and habits in the brain RJ Dolan, P Dayan Neuron 80 (2), 312-325, 2013	1328	2013
Tonic dopamine: opportunity costs and the control of response vigor Y Niv, ND Daw, D Joel, P Dayan Psychopharmacology 191, 507-520, 2007	1296	2007
Reinforcement learning P Dayan Stevens' Handbook of Experimental Psychology, 2002	1128*	2002
Reward, motivation, and reinforcement learning P Dayan, BW Balleine Neuron 36 (2), 285-298, 2002	1056	2002
Opponent interactions between serotonin and dopamine ND Daw, S Kakade, P Dayan Neural networks 15 (4-6), 603-616, 2002	1039	2002
The effect of correlated variability on the accuracy of a population code LF Abbott, P Dayan Neural computation 11 (1), 91-101, 1999	1007	1999
Computational psychiatry PR Montague, RJ Dolan, KJ Friston, P Dayan Trends in cognitive sciences 16 (1), 72-80, 2012	1006	2012

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