A citation-based method for searching scientific literature

J A Movshon, I D Thompson, D J Tolhurst. J Physiol 1978
Times Cited: 458







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



Times Cited
  Times     Co-cited
Similarity




Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
32

Classifying simple and complex cells on the basis of response modulation.
B C Skottun, R L De Valois, D H Grosof, J A Movshon, D G Albrecht, A B Bonds. Vision Res 1991
495
30

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
265
29




Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.
James R Cavanaugh, Wyeth Bair, J Anthony Movshon. J Neurophysiol 2002
497
18

Spatial frequency selectivity of cells in macaque visual cortex.
R L De Valois, D G Albrecht, L G Thorell. Vision Res 1982
920
18

Do we know what the early visual system does?
Matteo Carandini, Jonathan B Demb, Valerio Mante, David J Tolhurst, Yang Dan, Bruno A Olshausen, Jack L Gallant, Nicole C Rust. J Neurosci 2005
273
18

On the classification of simple and complex cells.
Ferenc Mechler, Dario L Ringach. Vision Res 2002
147
17



Orientation selectivity in macaque V1: diversity and laminar dependence.
Dario L Ringach, Robert M Shapley, Michael J Hawken. J Neurosci 2002
372
16

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
15


Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
13

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
767
13

The contribution of spike threshold to the dichotomy of cortical simple and complex cells.
Nicholas J Priebe, Ferenc Mechler, Matteo Carandini, David Ferster. Nat Neurosci 2004
150
12

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
12

Complex cells increase their phase sensitivity at low contrasts and following adaptation.
N A Crowder, J van Kleef, B Dreher, M R Ibbotson. J Neurophysiol 2007
33
36

Highly selective receptive fields in mouse visual cortex.
Cristopher M Niell, Michael P Stryker. J Neurosci 2008
578
12




Excitatory and suppressive receptive field subunits in awake monkey primary visual cortex (V1).
Xiaodong Chen, Feng Han, Mu-Ming Poo, Yang Dan. Proc Natl Acad Sci U S A 2007
53
20

Contrast's effect on spatial summation by macaque V1 neurons.
M P Sceniak, D L Ringach, M J Hawken, R Shapley. Nat Neurosci 1999
411
11

Receptive field structure varies with layer in the primary visual cortex.
Luis M Martinez, Qingbo Wang, R Clay Reid, Cinthi Pillai, José-Mañuel Alonso, Friedrich T Sommer, Judith A Hirsch. Nat Neurosci 2005
135
10


Complex cells as cortically amplified simple cells.
F S Chance, S B Nelson, L F Abbott. Nat Neurosci 1999
139
10

How close are we to understanding v1?
Bruno A Olshausen, David J Field. Neural Comput 2005
186
10

Hidden complexity of synaptic receptive fields in cat V1.
Julien Fournier, Cyril Monier, Manuel Levy, Olivier Marre, Katalin Sári, Zoltán F Kisvárday, Yves Frégnac. J Neurosci 2014
20
50



Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
197
9

Neurons in monkey visual area V2 encode combinations of orientations.
Akiyuki Anzai, Xinmiao Peng, David C Van Essen. Nat Neurosci 2007
143
9


How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
523
9









Receptive fields and functional architecture of macaque V2.
J B Levitt, D C Kiper, J A Movshon. J Neurophysiol 1994
251
8


Length and width tuning of neurons in the cat's primary visual cortex.
G C DeAngelis, R D Freeman, I Ohzawa. J Neurophysiol 1994
349
8


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.