A citation-based method for searching scientific literature

William Lotter, Gabriel Kreiman, David Cox. Nat Mach Intell 2020
Times Cited: 10







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



Times Cited
  Times     Co-cited
Similarity


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
587
60

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
430
60

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
190
50

Deep Learning: The Good, the Bad, and the Ugly.
Thomas Serre. Annu Rev Vis Sci 2019
49
40

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.
Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B Issa, James J DiCarlo. Nat Neurosci 2019
110
40

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
424
40


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
220
30

Seeing it all: Convolutional network layers map the function of the human visual system.
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Neuroimage 2017
87
30

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
106
30


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
44
30

Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction.
Eiji Watanabe, Akiyoshi Kitaoka, Kiwako Sakamoto, Masaki Yasugi, Kenta Tanaka. Front Psychol 2018
20
30



Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
99
20

Deep Neural Networks as Scientific Models.
Radoslaw M Cichy, Daniel Kaiser. Trends Cogn Sci 2019
87
20

Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
20

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
350
20

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
20

Accurate Estimation of Neural Population Dynamics without Spike Sorting.
Eric M Trautmann, Sergey D Stavisky, Subhaneil Lahiri, Katherine C Ames, Matthew T Kaufman, Daniel J O'Shea, Saurabh Vyas, Xulu Sun, Stephen I Ryu, Surya Ganguli,[...]. Neuron 2019
80
20


Untangling invariant object recognition.
James J DiCarlo, David D Cox. Trends Cogn Sci 2007
398
20

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
630
20

Controversial stimuli: Pitting neural networks against each other as models of human cognition.
Tal Golan, Prashant C Raju, Nikolaus Kriegeskorte. Proc Natl Acad Sci U S A 2020
17
20

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
177
20

A Developmental Approach to Machine Learning?
Linda B Smith, Lauren K Slone. Front Psychol 2017
21
20

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
230
20


High-dimensional geometry of population responses in visual cortex.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D Harris. Nature 2019
137
20


A map of object space in primate inferotemporal cortex.
Pinglei Bao, Liang She, Mason McGill, Doris Y Tsao. Nature 2020
69
20

The speed of neuronal adaptation: A perspective through the visual cortex.
Vishal Bharmauria, Lyes Bachatene, Stéphane Molotchnikoff. Eur J Neurosci 2019
2
50

Pattern Adaptation and Normalization Reweighting.
Zachary M Westrick, David J Heeger, Michael S Landy. J Neurosci 2016
17
10

Adaptation shifts preferred orientation of tuning curve in the mouse visual cortex.
Jeyadarshan Jeyabalaratnam, Vishal Bharmauria, Lyes Bachatene, Sarah Cattan, Annie Angers, Stéphane Molotchnikoff. PLoS One 2013
23
10

Adaptation without Plasticity.
Maria Del Mar Quiroga, Adam P Morris, Bart Krekelberg. Cell Rep 2016
14
10

Visual adaptation: neural, psychological and computational aspects.
Colin W G Clifford, Michael A Webster, Garrett B Stanley, Alan A Stocker, Adam Kohn, Tatyana O Sharpee, Odelia Schwartz. Vision Res 2007
221
10

Models and properties of power-law adaptation in neural systems.
Patrick J Drew, L F Abbott. J Neurophysiol 2006
90
10

Adaptation to natural facial categories.
Michael A Webster, Daniel Kaping, Yoko Mizokami, Paul Duhamel. Nature 2004
424
10

Visual adaptation and face perception.
Michael A Webster, Donald I A MacLeod. Philos Trans R Soc Lond B Biol Sci 2011
201
10

Adaptation maintains population homeostasis in primary visual cortex.
Andrea Benucci, Aman B Saleem, Matteo Carandini. Nat Neurosci 2013
100
10

Recurrent computations for visual pattern completion.
Hanlin Tang, Martin Schrimpf, William Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman. Proc Natl Acad Sci U S A 2018
54
10

Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex.
Andrew H Bell, Christopher Summerfield, Elyse L Morin, Nicholas J Malecek, Leslie G Ungerleider. Curr Biol 2016
42
10


Long adaptation reveals mostly attractive shifts of orientation tuning in cat primary visual cortex.
N Ghisovan, A Nemri, S Shumikhina, S Molotchnikoff. Neuroscience 2009
36
10



Adaptation changes the direction tuning of macaque MT neurons.
Adam Kohn, J Anthony Movshon. Nat Neurosci 2004
231
10




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.