A citation-based method for searching scientific literature

D H HUBEL, T N WIESEL. J. Physiol. (Lond.) 1962
Times Cited: 4876







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



Times Cited
  Times     Co-cited
Similarity


Receptive fields of single neurones in the cat's striate cortex.
D H HUBEL, T N WIESEL. J. Physiol. (Lond.) 1959
16



Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
10

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
300
9

Distributed hierarchical processing in the primate cerebral cortex.
D J Felleman, D C Van Essen. Cereb. Cortex 1991
9

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat. Rev. Neurosci. 2011
629
7

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput. Biol. 2014
228
7

The contrast sensitivity of retinal ganglion cells of the cat.
C Enroth-Cugell, J G Robson. J. Physiol. (Lond.) 1966
6


Ferrier lecture. Functional architecture of macaque monkey visual cortex.
D H Hubel, T N Wiesel. Proc. R. Soc. Lond., B, Biol. Sci. 1977
6

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
24
25

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
6

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
6

Principles underlying sensory map topography in primary visual cortex.
Jens Kremkow, Jianzhong Jin, Yushi Wang, Jose M Alonso. Nature 2016
50
12




Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat. Neurosci. 1999
913
6


Neural population control via deep image synthesis.
Pouya Bashivan, Kohitij Kar, James J DiCarlo. Science 2019
19
26



How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
411
5


The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
275
5

Parallel processing strategies of the primate visual system.
Jonathan J Nassi, Edward M Callaway. Nat. Rev. Neurosci. 2009
278
5

Deep convolutional models improve predictions of macaque V1 responses to natural images.
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker. PLoS Comput. Biol. 2019
17
29

Ultrasensitive fluorescent proteins for imaging neuronal activity.
Tsai-Wen Chen, Trevor J Wardill, Yi Sun, Stefan R Pulver, Sabine L Renninger, Amy Baohan, Eric R Schreiter, Rex A Kerr, Michael B Orger, Vivek Jayaraman,[...]. Nature 2013
5


Summation and inhibition in the frog's retina.
H B BARLOW. J. Physiol. (Lond.) 1953
360
4

The neural mechanism of binocular depth discrimination.
H B Barlow, C Blakemore, J D Pettigrew. J. Physiol. (Lond.) 1967
732
4


Hierarchical Bayesian inference in the visual cortex.
Tai Sing Lee, David Mumford. J Opt Soc Am A Opt Image Sci Vis 2003
427
4


Classification of electrophysiological and morphological neuron types in the mouse visual cortex.
Nathan W Gouwens, Staci A Sorensen, Jim Berg, Changkyu Lee, Tim Jarsky, Jonathan Ting, Susan M Sunkin, David Feng, Costas A Anastassiou, Eliza Barkan,[...]. Nat. Neurosci. 2019
37
10

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat. Neurosci. 2016
184
4

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
407
4

How MT cells analyze the motion of visual patterns.
Nicole C Rust, Valerio Mante, Eero P Simoncelli, J Anthony Movshon. Nat. Neurosci. 2006
273
4

A Convolutional Subunit Model for Neuronal Responses in Macaque V1.
Brett Vintch, J Anthony Movshon, Eero P Simoncelli. J. Neurosci. 2015
31
12

Fully integrated silicon probes for high-density recording of neural activity.
James J Jun, Nicholas A Steinmetz, Joshua H Siegle, Daniel J Denman, Marius Bauza, Brian Barbarits, Albert K Lee, Costas A Anastassiou, Alexandru Andrei, Çağatay Aydın,[...]. Nature 2017
252
4

Spontaneous behaviors drive multidimensional, brainwide activity.
Carsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Charu Bai Reddy, Matteo Carandini, Kenneth D Harris. Science 2019
84
4

A mesoscale connectome of the mouse brain.
Seung Wook Oh, Julie A Harris, Lydia Ng, Brent Winslow, Nicholas Cain, Stefan Mihalas, Quanxin Wang, Chris Lau, Leonard Kuan, Alex M Henry,[...]. Nature 2014
767
4



Attention improves performance primarily by reducing interneuronal correlations.
Marlene R Cohen, John H R Maunsell. Nat. Neurosci. 2009
509
4


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
18
22


Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
94
4


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.