Uri Hasson, Samuel A Nastase, Ariel Goldstein. Neuron 2020
Times Cited: 39
Times Cited: 39
Times Cited
Times Co-cited
Similarity
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
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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
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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
20
Deep Neural Networks as Scientific Models.
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
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Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
20
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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Human-level control through deep reinforcement learning.
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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
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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
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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
15
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Kohitij Kar, Kailyn Schmidt, James J DiCarlo. J Neurosci 2018
12
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
12
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
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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
12
Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.
Carlos R Ponce, Will Xiao, Peter F Schade, Till S Hartmann, Gabriel Kreiman, Margaret S Livingstone. Cell 2019
Carlos R Ponce, Will Xiao, Peter F Schade, Till S Hartmann, Gabriel Kreiman, Margaret S Livingstone. Cell 2019
12
Recurrence is required to capture the representational dynamics of the human visual system.
Tim C Kietzmann, Courtney J Spoerer, Lynn K A Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2019
Tim C Kietzmann, Courtney J Spoerer, Lynn K A Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2019
12
Neuroscience Needs Behavior: Correcting a Reductionist Bias.
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel. Neuron 2017
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Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
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Mastering the game of Go with deep neural networks and tree search.
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10
Grandmaster level in StarCraft II using multi-agent reinforcement learning.
Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev,[...]. Nature 2019
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10
Emergence of simple-cell receptive field properties by learning a sparse code for natural images.
B A Olshausen, D J Field. Nature 1996
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10
Building machines that learn and think like people.
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Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
10
Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
10
Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
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10
Decoding human brain activity during real-world experiences.
Hugo J Spiers, Eleanor A Maguire. Trends Cogn Sci 2007
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10
The revolution will not be controlled: natural stimuli in speech neuroscience.
Liberty S Hamilton, Alexander G Huth. Lang Cogn Neurosci 2018
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10
Moving magnetoencephalography towards real-world applications with a wearable system.
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Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
10
10
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
7
Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
7
Human-level performance in 3D multiplayer games with population-based reinforcement learning.
Max Jaderberg, Wojciech M Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castañeda, Charles Beattie, Neil C Rabinowitz, Ari S Morcos, Avraham Ruderman,[...]. Science 2019
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10
Theories of Error Back-Propagation in the Brain.
James C R Whittington, Rafal Bogacz. Trends Cogn Sci 2019
James C R Whittington, Rafal Bogacz. Trends Cogn Sci 2019
7
A distributional code for value in dopamine-based reinforcement learning.
Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, Clara Kwon Starkweather, Demis Hassabis, Rémi Munos, Matthew Botvinick. Nature 2020
Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, Clara Kwon Starkweather, Demis Hassabis, Rémi Munos, Matthew Botvinick. Nature 2020
7
Receptive fields of single neurones in the cat's striate cortex.
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A neural network that finds a naturalistic solution for the production of muscle activity.
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
7
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
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Resynthesizing behavior through phylogenetic refinement.
Paul Cisek. Atten Percept Psychophys 2019
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The Flatland Fallacy: Moving Beyond Low-Dimensional Thinking.
Eshin Jolly, Luke J Chang. Top Cogn Sci 2019
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Are We Ready for Real-world Neuroscience?
Pawel J Matusz, Suzanne Dikker, Alexander G Huth, Catherine Perrodin. J Cogn Neurosci 2019
Pawel J Matusz, Suzanne Dikker, Alexander G Huth, Catherine Perrodin. J Cogn Neurosci 2019
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Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning.
Tal Yarkoni, Jacob Westfall. Perspect Psychol Sci 2017
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Same Story, Different Story.
Yaara Yeshurun, Stephen Swanson, Erez Simony, Janice Chen, Christina Lazaridi, Christopher J Honey, Uri Hasson. Psychol Sci 2017
Yaara Yeshurun, Stephen Swanson, Erez Simony, Janice Chen, Christina Lazaridi, Christopher J Honey, Uri Hasson. Psychol Sci 2017
7
Selective and invariant neural responses to spoken and written narratives.
Mor Regev, Christopher J Honey, Erez Simony, Uri Hasson. J Neurosci 2013
Mor Regev, Christopher J Honey, Erez Simony, Uri Hasson. J Neurosci 2013
7
Future trends in Neuroimaging: Neural processes as expressed within real-life contexts.
Uri Hasson, Christopher J Honey. Neuroimage 2012
Uri Hasson, Christopher J Honey. Neuroimage 2012
7
Natural speech reveals the semantic maps that tile human cerebral cortex.
Alexander G Huth, Wendy A de Heer, Thomas L Griffiths, Frédéric E Theunissen, Jack L Gallant. Nature 2016
Alexander G Huth, Wendy A de Heer, Thomas L Griffiths, Frédéric E Theunissen, Jack L Gallant. Nature 2016
7
Naturalistic Stimuli in Neuroscience: Critically Acclaimed.
Saurabh Sonkusare, Michael Breakspear, Christine Guo. Trends Cogn Sci 2019
Saurabh Sonkusare, Michael Breakspear, Christine Guo. Trends Cogn Sci 2019
7
Face Space Representations in Deep Convolutional Neural Networks.
Alice J O'Toole, Carlos D Castillo, Connor J Parde, Matthew Q Hill, Rama Chellappa. Trends Cogn Sci 2018
Alice J O'Toole, Carlos D Castillo, Connor J Parde, Matthew Q Hill, Rama Chellappa. Trends Cogn Sci 2018
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Fast animal pose estimation using deep neural networks.
Talmo D Pereira, Diego E Aldarondo, Lindsay Willmore, Mikhail Kislin, Samuel S-H Wang, Mala Murthy, Joshua W Shaevitz. Nat Methods 2019
Talmo D Pereira, Diego E Aldarondo, Lindsay Willmore, Mikhail Kislin, Samuel S-H Wang, Mala Murthy, Joshua W Shaevitz. Nat Methods 2019
7
Intersubject synchronization of cortical activity during natural vision.
Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science 2004
Uri Hasson, Yuval Nir, Ifat Levy, Galit Fuhrmann, Rafael Malach. Science 2004
7
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.