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Peter Dayan

Affiliations: 
University College London, London, United Kingdom 
Website:
http://www.gatsby.ucl.ac.uk/~dayan/
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Parents

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David Willshaw grad student Edinburgh
Geoffrey E. Hinton post-doc University of Toronto
Terrence J. Sejnowski post-doc Salk Institute

Children

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Sanjeevan Ahilan grad student
David GT Barrett grad student Gatsby Comp. Neurosci. Unit, UCL
Paul Faulkner grad student
David Foster grad student Johns Hopkins
Quentin Huys grad student UCL, Columbia University
Vikki Neville grad student
Yael Niv grad student Gatsby Computational Neuroscience Unit
Angela J. Yu grad student UCL
Kai A. Krueger grad student 2005- UCL
Loic Matthey-de-l'Endroit grad student 2009- Gatsby Unit, UCL
Ritwik K. Niyogi grad student 2009- Gatsby Computational Neuroscience Unit
Neil Bramley grad student 2017- UCL
Xin Sui grad student 2022- Max Planck Insititute for Biological Cybernetics
Quaid Morris grad student 1996-2002 MIT
Noémi Éltető grad student 2020-2024 MPI for Biological Cybernetics
Nathaniel D. Daw post-doc UCL
Mate Lengyel post-doc UCL
Yasser Roudi post-doc UCL
Friedrich T. Sommer post-doc UC Berkeley
Anne Hsu post-doc 2005- UCL
Molly J. Crockett post-doc 2011- UCL
Zeb L. Kurth-Nelson post-doc 2011- UCL
Eran Eldar post-doc 2014-
Vincent Valton post-doc 2014- UCL
Stefan F. Bucher post-doc 2021- Max Planck Insitute for Biological Cybernetics
Randall C. O'Reilly post-doc 1996-1997 MIT
Adam N. Sanborn post-doc 2007-2010 UCL
Woo-Young Ahn post-doc 2012-2014 Virginia Tech Carilion Research Institute
Kiyohito Iigaya post-doc 2014-2017 Gatsby Computational Neuroscience Unit (Physics Tree)
Aenne A. Brielmann post-doc 2020-2023
Shervin Safavi post-doc 2021-2023 MPI for Biological Cybernetics

Collaborators

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Dominik R. Bach collaborator UCL
Aaron J. Gruber collaborator UCL
Ole Paulsen collaborator UCL
Hong Xu collaborator 2007- UCL, Columbia University
David B. Kastner collaborator 2017- Gatsby Comp. Neurosci. Unit, UCL
Peter Shizgal collaborator 2010-2019 University College London (UCL), England, UK
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Publications

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Batten SR, Bang D, Kopell BH, et al. (2024) Dopamine and serotonin in human substantia nigra track social context and value signals during economic exchange. Nature Human Behaviour
Muller TH, Butler JL, Veselic S, et al. (2024) Distributional reinforcement learning in prefrontal cortex. Nature Neuroscience
Brielmann AA, Berentelg M, Dayan P. (2023) Modelling individual aesthetic judgements over time. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 379: 20220414
Neville V, Mendl M, Paul ES, et al. (2023) A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals. Cognitive, Affective & Behavioral Neuroscience
Éltető N, Nemeth D, Janacsek K, et al. (2022) Tracking human skill learning with a hierarchical Bayesian sequence model. Plos Computational Biology. 18: e1009866
Safavi S, Dayan P. (2022) Multistability, perceptual value, and internal foraging. Neuron
Dubey R, Griffiths TL, Dayan P. (2022) The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. Plos Computational Biology. 18: e1010316
Jain YR, Callaway F, Griffiths TL, et al. (2022) A computational process-tracing method for measuring people's planning strategies and how they change over time. Behavior Research Methods
Brielmann AA, Dayan P. (2022) A computational model of aesthetic value. Psychological Review
Kastner DB, Miller EA, Yang Z, et al. (2022) Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task. Cell Reports. 39: 110708
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