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Peter Dayan

Showing results (231-240 of 301) with videos related to

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Brain : a Journal of Neurology|April 18, 2012
Dopamine and performance in a reinforcement learning task: evidence from Parkinson's diseaseTamara Shiner, Ben Seymour, Klaus Wunderlich, et al.
Elife|September 6, 2017
Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old ageLieke de Boer, Jan Axelsson, Katrine Riklund, et al.
Neuroimage|May 3, 2012
Go and no-go learning in reward and punishment: interactions between affect and effectMarc Guitart-Masip, Quentin J M Huys, Lluis Fuentemilla, et al.
Science Advances|June 30, 2020
The value of what's to come: Neural mechanisms coupling prediction error and the utility of anticipationKiyohito Iigaya, Tobias U Hauser, Zeb Kurth-Nelson, et al.
Behavior Research Methods|July 12, 2022
A computational process-tracing method for measuring people's planning strategies and how they change over timeYash Raj Jain, Frederick Callaway, Thomas L Griffiths, et al.
Plos Computational Biology|May 11, 2011
Disentangling the roles of approach, activation and valence in instrumental and pavlovian respondingQuentin J M Huys, Roshan Cools, Martin Gölzer, et al.
Scientific Reports|November 2, 2018
Author Correction: Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviourSamantha Jones, Vikki Neville, Laura Higgs, et al.
Psychological Medicine|March 12, 2021
A comparison of 'pruning' during multi-step planning in depressed and healthy individualsPaul Faulkner, Quentin J M Huys, Daniel Renz, et al.
Scientific Reports|August 19, 2018
Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviourSamantha Jones, Vikki Neville, Laura Higgs, et al.
Plos Computational Biology|June 25, 2019
Learning to use past evidence in a sophisticated world modelSanjeevan Ahilan, Rebecca B Solomon, Yannick-André Breton, et al.
Pageof 31

Showing results (231-240 of 301) with videos related to

Sort By:
Pageof 31
Brain : a Journal of Neurology|April 18, 2012
Dopamine and performance in a reinforcement learning task: evidence from Parkinson's diseaseTamara Shiner, Ben Seymour, Klaus Wunderlich, et al.
Elife|September 6, 2017
Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old ageLieke de Boer, Jan Axelsson, Katrine Riklund, et al.
Neuroimage|May 3, 2012
Go and no-go learning in reward and punishment: interactions between affect and effectMarc Guitart-Masip, Quentin J M Huys, Lluis Fuentemilla, et al.
Science Advances|June 30, 2020
The value of what's to come: Neural mechanisms coupling prediction error and the utility of anticipationKiyohito Iigaya, Tobias U Hauser, Zeb Kurth-Nelson, et al.
Behavior Research Methods|July 12, 2022
A computational process-tracing method for measuring people's planning strategies and how they change over timeYash Raj Jain, Frederick Callaway, Thomas L Griffiths, et al.
Plos Computational Biology|May 11, 2011
Disentangling the roles of approach, activation and valence in instrumental and pavlovian respondingQuentin J M Huys, Roshan Cools, Martin Gölzer, et al.
Scientific Reports|November 2, 2018
Author Correction: Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviourSamantha Jones, Vikki Neville, Laura Higgs, et al.
Psychological Medicine|March 12, 2021
A comparison of 'pruning' during multi-step planning in depressed and healthy individualsPaul Faulkner, Quentin J M Huys, Daniel Renz, et al.
Scientific Reports|August 19, 2018
Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviourSamantha Jones, Vikki Neville, Laura Higgs, et al.
Plos Computational Biology|June 25, 2019
Learning to use past evidence in a sophisticated world modelSanjeevan Ahilan, Rebecca B Solomon, Yannick-André Breton, et al.
Pageof 31