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Peter Dayan

Neuron

Showing results (1-10 of 11) with videos related to

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Neuron|October 9, 2012
Twenty-five lessons from computational neuromodulationPeter Dayan
Neuron|August 30, 2022
Multistability, perceptual value, and internal foragingShervin Safavi, Peter Dayan
Neuron|October 22, 2013
Goals and habits in the brainRay J Dolan, Peter Dayan
Neuron|October 18, 2002
Reward, motivation, and reinforcement learningPeter Dayan, Bernard W Balleine
Neuron|June 10, 2005
Uncertainty, neuromodulation, and attentionAngela J Yu, Peter Dayan
Neuron|June 1, 2010
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learningJan Gläscher, Nathaniel Daw, Peter Dayan, et al.
Neuron|June 21, 2016
Fast Sequences of Non-spatial State Representations in HumansZeb Kurth-Nelson, Marcos Economides, Raymond J Dolan, et al.
Neuron|December 9, 2016
Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant InformationDharshan Kumaran, Andrea Banino, Charles Blundell, et al.
Neuron|April 30, 2003
Temporal difference models and reward-related learning in the human brainJohn P O'Doherty, Peter Dayan, Karl Friston, et al.
Neuron|March 26, 2011
Model-based influences on humans' choices and striatal prediction errorsNathaniel D Daw, Samuel J Gershman, Ben Seymour, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neuron|October 9, 2012
Twenty-five lessons from computational neuromodulationPeter Dayan
Neuron|August 30, 2022
Multistability, perceptual value, and internal foragingShervin Safavi, Peter Dayan
Neuron|October 22, 2013
Goals and habits in the brainRay J Dolan, Peter Dayan
Neuron|October 18, 2002
Reward, motivation, and reinforcement learningPeter Dayan, Bernard W Balleine
Neuron|June 10, 2005
Uncertainty, neuromodulation, and attentionAngela J Yu, Peter Dayan
Neuron|June 1, 2010
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learningJan Gläscher, Nathaniel Daw, Peter Dayan, et al.
Neuron|June 21, 2016
Fast Sequences of Non-spatial State Representations in HumansZeb Kurth-Nelson, Marcos Economides, Raymond J Dolan, et al.
Neuron|December 9, 2016
Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant InformationDharshan Kumaran, Andrea Banino, Charles Blundell, et al.
Neuron|April 30, 2003
Temporal difference models and reward-related learning in the human brainJohn P O'Doherty, Peter Dayan, Karl Friston, et al.
Neuron|March 26, 2011
Model-based influences on humans' choices and striatal prediction errorsNathaniel D Daw, Samuel J Gershman, Ben Seymour, et al.
Pageof 2