A citation-based method for searching scientific literature

Ben D B Willmore, Ryan J Prenger, Jack L Gallant. J Neurosci 2010
Times Cited: 69







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



Times Cited
  Times     Co-cited
Similarity


Neurons in monkey visual area V2 encode combinations of orientations.
Akiyuki Anzai, Xinmiao Peng, David C Van Essen. Nat Neurosci 2007
143
40

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
27


Selectivity for complex shapes in primate visual area V2.
J HegdĂ©, D C Van Essen. J Neurosci 2000
153
26


Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
162
18


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
489
18

Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
196
17

Predicting neuronal responses during natural vision.
Stephen V David, Jack L Gallant. Network 2005
86
15



Coding of border ownership in monkey visual cortex.
H Zhou, H S Friedman, R von der Heydt. J Neurosci 2000
380
14





Neuronal responses to texture-defined form in macaque visual area V2.
Yasmine El-Shamayleh, J Anthony Movshon. J Neurosci 2011
52
19


A functional and perceptual signature of the second visual area in primates.
Jeremy Freeman, Corey M Ziemba, David J Heeger, Eero P Simoncelli, J Anthony Movshon. Nat Neurosci 2013
128
14

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
272
13


How MT cells analyze the motion of visual patterns.
Nicole C Rust, Valerio Mante, Eero P Simoncelli, J Anthony Movshon. Nat Neurosci 2006
302
13


Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
260
13




Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
751
13

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
514
11


In praise of artifice.
Nicole C Rust, J Anthony Movshon. Nat Neurosci 2005
120
11

Length and width tuning of neurons in the cat's primary visual cortex.
G C DeAngelis, R D Freeman, I Ohzawa. J Neurophysiol 1994
344
11

Population coding of shape in area V4.
Anitha Pasupathy, Charles E Connor. Nat Neurosci 2002
266
11

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
918
11

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
11

A natural approach to studying vision.
Gidon Felsen, Yang Dan. Nat Neurosci 2005
155
11

The Psychophysics Toolbox.
D H Brainard. Spat Vis 1997
11

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
414
11

Distributed hierarchical processing in the primate cerebral cortex.
D J Felleman, D C Van Essen. Cereb Cortex 1991
10






How close are we to understanding v1?
Bruno A Olshausen, David J Field. Neural Comput 2005
184
10

Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
412
10

Receptive field organization of complex cells in the cat's striate cortex.
J A Movshon, I D Thompson, D J Tolhurst. J Physiol 1978
457
10

Cortical sensitivity to visual features in natural scenes.
Gidon Felsen, Jon Touryan, Feng Han, Yang Dan. PLoS Biol 2005
109
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.