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Journal of Abnormal Psychology
|
May 14, 2016
Reduced model-based decision-making in schizophrenia
Adam J Culbreth, Andrew Westbrook, Nathaniel D Daw, et al.
Neuron
|
July 15, 2020
Deep Reinforcement Learning and Its Neuroscientific Implications
Matthew Botvinick, Jane X Wang, Will Dabney, et al.
Proceedings. Biological Sciences
|
January 15, 2016
Irrational time allocation in decision-making
Bastiaan Oud, Ian Krajbich, Kevin Miller, et al.
Nature Communications
|
November 10, 2021
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Irina Higgins, Le Chang, Victoria Langston, et al.
Trends in Cognitive Sciences
|
April 21, 2019
Reinforcement Learning, Fast and Slow
Matthew Botvinick, Sam Ritter, Jane X Wang, et al.
The Behavioral and Brain Sciences
|
November 23, 2023
Meta-learned models of cognition
Marcel Binz, Ishita Dasgupta, Akshay K Jagadish, et al.
Nature
|
January 17, 2020
A distributional code for value in dopamine-based reinforcement learning
Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, et al.
Neuroimage
|
March 1, 2005
Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain
Matthew Botvinick, Amishi P Jha, Lauren M Bylsma, et al.
Nature Human Behaviour
|
September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learning
Kevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Nature Communications
|
March 8, 2018
Toward a universal decoder of linguistic meaning from brain activation
Francisco Pereira, Bin Lou, Brianna Pritchett, et al.
Page
of 6
Search research articles
Search
Showing results (31-40 of 53) with videos related to
Sort By:
Page
of 6
Journal of Abnormal Psychology
|
May 14, 2016
Reduced model-based decision-making in schizophrenia
Adam J Culbreth, Andrew Westbrook, Nathaniel D Daw, et al.
Neuron
|
July 15, 2020
Deep Reinforcement Learning and Its Neuroscientific Implications
Matthew Botvinick, Jane X Wang, Will Dabney, et al.
Proceedings. Biological Sciences
|
January 15, 2016
Irrational time allocation in decision-making
Bastiaan Oud, Ian Krajbich, Kevin Miller, et al.
Nature Communications
|
November 10, 2021
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Irina Higgins, Le Chang, Victoria Langston, et al.
Trends in Cognitive Sciences
|
April 21, 2019
Reinforcement Learning, Fast and Slow
Matthew Botvinick, Sam Ritter, Jane X Wang, et al.
The Behavioral and Brain Sciences
|
November 23, 2023
Meta-learned models of cognition
Marcel Binz, Ishita Dasgupta, Akshay K Jagadish, et al.
Nature
|
January 17, 2020
A distributional code for value in dopamine-based reinforcement learning
Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, et al.
Neuroimage
|
March 1, 2005
Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain
Matthew Botvinick, Amishi P Jha, Lauren M Bylsma, et al.
Nature Human Behaviour
|
September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learning
Kevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Nature Communications
|
March 8, 2018
Toward a universal decoder of linguistic meaning from brain activation
Francisco Pereira, Bin Lou, Brianna Pritchett, et al.
Page
of 6