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Matthew M Botvinick

Showing results (51-60 of 59) with videos related to

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Neuron|July 28, 2011
A neural signature of hierarchical reinforcement learningJosé J F Ribas-Fernandes, Alec Solway, Carlos Diuk, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Trends in Cognitive Sciences|July 6, 2010
Letting structure emerge: connectionist and dynamical systems approaches to cognitionJames L McClelland, Matthew M Botvinick, David C Noelle, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 21, 2016
Pain in the ACC?Tor D Wager, Lauren Y Atlas, Matthew M Botvinick, et al.
Nature Neuroscience|October 2, 2019
Widespread temporal coding of cognitive control in the human prefrontal cortexElliot H Smith, Guillermo Horga, Mark J Yates, et al.
Nature|April 23, 2025
Whole-body physics simulation of fruit fly locomotionRoman Vaxenburg, Igor Siwanowicz, Josh Merel, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
AI-Discovered Cognitive Models Reveal Novel Insights into Human and Animal LearningDaniel Kasenberg, Pablo Samuel Castro, Maria K Eckstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 27, 2025
How should the advancement of large language models affect the practice of science?Marcel Binz, Stephan Alaniz, Adina Roskies, et al.
Cognitive, Affective & Behavioral Neuroscience|June 13, 2014
Mechanisms of motivation-cognition interaction: challenges and opportunitiesTodd S Braver, Marie K Krug, Kimberly S Chiew, et al.
Pageof 6

Showing results (51-60 of 59) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 59 results.
Neuron|July 28, 2011
A neural signature of hierarchical reinforcement learningJosé J F Ribas-Fernandes, Alec Solway, Carlos Diuk, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Trends in Cognitive Sciences|July 6, 2010
Letting structure emerge: connectionist and dynamical systems approaches to cognitionJames L McClelland, Matthew M Botvinick, David C Noelle, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 21, 2016
Pain in the ACC?Tor D Wager, Lauren Y Atlas, Matthew M Botvinick, et al.
Nature Neuroscience|October 2, 2019
Widespread temporal coding of cognitive control in the human prefrontal cortexElliot H Smith, Guillermo Horga, Mark J Yates, et al.
Nature|April 23, 2025
Whole-body physics simulation of fruit fly locomotionRoman Vaxenburg, Igor Siwanowicz, Josh Merel, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
AI-Discovered Cognitive Models Reveal Novel Insights into Human and Animal LearningDaniel Kasenberg, Pablo Samuel Castro, Maria K Eckstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 27, 2025
How should the advancement of large language models affect the practice of science?Marcel Binz, Stephan Alaniz, Adina Roskies, et al.
Cognitive, Affective & Behavioral Neuroscience|June 13, 2014
Mechanisms of motivation-cognition interaction: challenges and opportunitiesTodd S Braver, Marie K Krug, Kimberly S Chiew, et al.
Pageof 6