A citation-based method for searching scientific literature


List of co-cited articles
44 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
53

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
46

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
73
38


Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
30

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
90
30

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
436
30

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
164
30

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
38
30


Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
328
30

Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
57
23

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
296
23

The expected value of control: an integrative theory of anterior cingulate cortex function.
Amitai Shenhav, Matthew M Botvinick, Jonathan D Cohen. Neuron 2013
865
15

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
767
15

Using human brain activity to guide machine learning.
Ruth C Fong, Walter J Scheirer, David D Cox. Sci Rep 2018
11
18


Fantastic DNimals and where to find them.
H Steven Scholte. Neuroimage 2018
7
28

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
75
15

Learning to see stuff.
Roland W Fleming, Katherine R Storrs. Curr Opin Behav Sci 2019
11
18

Deep Learning: The Good, the Bad, and the Ugly.
Thomas Serre. Annu Rev Vis Sci 2019
28
15


Deep convolutional networks do not classify based on global object shape.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J Kellman. PLoS Comput Biol 2018
30
15

Humans can decipher adversarial images.
Zhenglong Zhou, Chaz Firestone. Nat Commun 2019
11
18

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
182
15


Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.
Kamila M Jozwik, Nikolaus Kriegeskorte, Katherine R Storrs, Marieke Mur. Front Psychol 2017
31
15

Building machines that learn and think like people.
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
146
15

Atoms of recognition in human and computer vision.
Shimon Ullman, Liav Assif, Ethan Fetaya, Daniel Harari. Proc Natl Acad Sci U S A 2016
32
15

Predicting eye movement patterns from fMRI responses to natural scenes.
Thomas P O'Connell, Marvin M Chun. Nat Commun 2018
10
20

Machine behaviour.
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W Crandall, Nicholas A Christakis, Iain D Couzin, Matthew O Jackson,[...]. Nature 2019
52
15

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
72
15

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
759
15


How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
202
15

Deep neural network models of sensory systems: windows onto the role of task constraints.
Alexander Je Kell, Josh H McDermott. Curr Opin Neurobiol 2019
14
15

Deep Neural Networks as Scientific Models.
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
43
15

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
44
15

How does Nature Program Neuron Types?
Alexander Borst. Front Neurosci 2008
203
15

Inception loops discover what excites neurons most using deep predictive models.
Edgar Y Walker, Fabian H Sinz, Erick Cobos, Taliah Muhammad, Emmanouil Froudarakis, Paul G Fahey, Alexander S Ecker, Jacob Reimer, Xaq Pitkow, Andreas S Tolias. Nat Neurosci 2019
11
18

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
930
15

Representational Distance Learning for Deep Neural Networks.
Patrick McClure, Nikolaus Kriegeskorte. Front Comput Neurosci 2016
7
28

The distributed human neural system for face perception.
Haxby, Hoffman, Gobbini. Trends Cogn Sci 2000
15

Explicit information for category-orthogonal object properties increases along the ventral stream.
Ha Hong, Daniel L K Yamins, Najib J Majaj, James J DiCarlo. Nat Neurosci 2016
109
15

Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
518
7


The costs of crossing paths and switching tasks between audition and vision.
Micah M Murray, Laura De Santis, Gregor Thut, Glenn R Wylie. Brain Cogn 2009
31
7

Global effects of feature-based attention in human visual cortex.
Melissa Saenz, Giedrius T Buracas, Geoffrey M Boynton. Nat Neurosci 2002
385
7

A Source for Feature-Based Attention in the Prefrontal Cortex.
Narcisse P Bichot, Matthew T Heard, Ellen M DeGennaro, Robert Desimone. Neuron 2015
101
7

Cholinergic Modulation Promotes Attentional Modulation in Primary Visual Cortex- A Modeling Study.
Atena Sajedin, Mohammad Bagher Menhaj, Abdol-Hossein Vahabie, Stefano Panzeri, Hossein Esteky. Sci Rep 2019
5
20


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.