Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
Times Cited: 200
Times Cited: 200
Times Cited
Times Co-cited
Similarity
Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
20
Prefrontal cortex as a meta-reinforcement learning system.
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick. Nat Neurosci 2018
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick. Nat Neurosci 2018
18
Human-level concept learning through probabilistic program induction.
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
Brenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum. Science 2015
17
Reinforcement Learning, Fast and Slow.
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, Demis Hassabis. Trends Cogn Sci 2019
17
Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
13
Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
13
Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
12
How to grow a mind: statistics, structure, and abstraction.
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, Noah D Goodman. Science 2011
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Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
10
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
R P Rao, D H Ballard. Nat Neurosci 1999
R P Rao, D H Ballard. Nat Neurosci 1999
10
Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
10
What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.
Timothy E J Behrens, Timothy H Muller, James C R Whittington, Shirley Mark, Alon B Baram, Kimberly L Stachenfeld, Zeb Kurth-Nelson. Neuron 2018
Timothy E J Behrens, Timothy H Muller, James C R Whittington, Shirley Mark, Alon B Baram, Kimberly L Stachenfeld, Zeb Kurth-Nelson. Neuron 2018
9
Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing.
Nikolaus Kriegeskorte. Annu Rev Vis Sci 2015
Nikolaus Kriegeskorte. Annu Rev Vis Sci 2015
9
A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
9
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream.
Umut Güçlü, Marcel A J van Gerven. J Neurosci 2015
Umut Güçlü, Marcel A J van Gerven. J Neurosci 2015
8
Connectionism and cognitive architecture: a critical analysis.
J A Fodor, Z W Pylyshyn. Cognition 1988
J A Fodor, Z W Pylyshyn. Cognition 1988
7
Hybrid computing using a neural network with dynamic external memory.
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou,[...]. Nature 2016
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou,[...]. Nature 2016
7
The hippocampus as a predictive map.
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
Kimberly L Stachenfeld, Matthew M Botvinick, Samuel J Gershman. Nat Neurosci 2017
7
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.
Nathaniel D Daw, Yael Niv, Peter Dayan. Nat Neurosci 2005
Nathaniel D Daw, Yael Niv, Peter Dayan. Nat Neurosci 2005
7
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
James L McClelland, Bruce L McNaughton, Randall C O'Reilly. Psychol Rev 1995
James L McClelland, Bruce L McNaughton, Randall C O'Reilly. Psychol Rev 1995
7
Simulation as an engine of physical scene understanding.
Peter W Battaglia, Jessica B Hamrick, Joshua B Tenenbaum. Proc Natl Acad Sci U S A 2013
Peter W Battaglia, Jessica B Hamrick, Joshua B Tenenbaum. Proc Natl Acad Sci U S A 2013
7
Neural representations of events arise from temporal community structure.
Anna C Schapiro, Timothy T Rogers, Natalia I Cordova, Nicholas B Turk-Browne, Matthew M Botvinick. Nat Neurosci 2013
Anna C Schapiro, Timothy T Rogers, Natalia I Cordova, Nicholas B Turk-Browne, Matthew M Botvinick. Nat Neurosci 2013
7
Neural scene representation and rendering.
S M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S Morcos, Marta Garnelo, Avraham Ruderman, Andrei A Rusu, Ivo Danihelka, Karol Gregor,[...]. Science 2018
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15
Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
8
A rational analysis of rule-based concept learning.
Noah D Goodman, Joshua B Tenenbaum, Jacob Feldman, Thomas L Griffiths. Cogn Sci 2008
Noah D Goodman, Joshua B Tenenbaum, Jacob Feldman, Thomas L Griffiths. Cogn Sci 2008
7
A large-scale model of the functioning brain.
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, Daniel Rasmussen. Science 2012
6
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.
Dharshan Kumaran, Demis Hassabis, James L McClelland. Trends Cogn Sci 2016
Dharshan Kumaran, Demis Hassabis, James L McClelland. Trends Cogn Sci 2016
6
A critique of pure learning and what artificial neural networks can learn from animal brains.
Anthony M Zador. Nat Commun 2019
Anthony M Zador. Nat Commun 2019
9
Whatever next? Predictive brains, situated agents, and the future of cognitive science.
Andy Clark. Behav Brain Sci 2013
Andy Clark. Behav Brain Sci 2013
6
A theory of causal learning in children: causal maps and Bayes nets.
Alison Gopnik, Clark Glymour, David M Sobel, Laura E Schulz, Tamar Kushnir, David Danks. Psychol Rev 2004
Alison Gopnik, Clark Glymour, David M Sobel, Laura E Schulz, Tamar Kushnir, David Danks. Psychol Rev 2004
6
Cognitive control over learning: creating, clustering, and generalizing task-set structure.
Anne G E Collins, Michael J Frank. Psychol Rev 2013
Anne G E Collins, Michael J Frank. Psychol Rev 2013
6
Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
6
6
Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
6
The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex.
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C Daniel Salzman. Cell 2020
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C Daniel Salzman. Cell 2020
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The importance of mixed selectivity in complex cognitive tasks.
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
Mattia Rigotti, Omri Barak, Melissa R Warden, Xiao-Jing Wang, Nathaniel D Daw, Earl K Miller, Stefano Fusi. Nature 2013
5
A map of abstract relational knowledge in the human hippocampal-entorhinal cortex.
Mona M Garvert, Raymond J Dolan, Timothy Ej Behrens. Elife 2017
Mona M Garvert, Raymond J Dolan, Timothy Ej Behrens. Elife 2017
5
5
Model-based hierarchical reinforcement learning and human action control.
Matthew Botvinick, Ari Weinstein. Philos Trans R Soc Lond B Biol Sci 2014
Matthew Botvinick, Ari Weinstein. Philos Trans R Soc Lond B Biol Sci 2014
8
Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective.
Matthew M Botvinick, Yael Niv, Andew G Barto. Cognition 2009
Matthew M Botvinick, Yael Niv, Andew G Barto. Cognition 2009
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Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework.
Samuel J Gershman, Nathaniel D Daw. Annu Rev Psychol 2017
Samuel J Gershman, Nathaniel D Daw. Annu Rev Psychol 2017
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Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
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A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
Alexander J E Kell, Daniel L K Yamins, Erica N Shook, Sam V Norman-Haignere, Josh H McDermott. Neuron 2018
5
Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.