A citation-based method for searching scientific literature

Bruno A Olshausen, David J Field. Neural Comput 2005
Times Cited: 173







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



Times Cited
  Times     Co-cited
Similarity


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
258
27



Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
850
20

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
14

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
713
14




Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
188
12

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
982
11


Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
526
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
369
10



Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
287
10

Orientation selectivity in macaque V1: diversity and laminar dependence.
Dario L Ringach, Robert M Shapley, Michael J Hawken. J Neurosci 2002
337
9

A natural approach to studying vision.
Gidon Felsen, Yang Dan. Nat Neurosci 2005
137
9



Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation.
Bilal Haider, Matthew R Krause, Alvaro Duque, Yuguo Yu, Jonathan Touryan, James A Mazer, David A McCormick. Neuron 2010
165
8





A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
7

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
453
7


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
331
7


Population code in mouse V1 facilitates readout of natural scenes through increased sparseness.
Emmanouil Froudarakis, Philipp Berens, Alexander S Ecker, R James Cotton, Fabian H Sinz, Dimitri Yatsenko, Peter Saggau, Matthias Bethge, Andreas S Tolias. Nat Neurosci 2014
76
9

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
497
7

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
248
7



Top-down facilitation of visual recognition.
M Bar, K S Kassam, A S Ghuman, J Boshyan, A M Schmid, A M Dale, M S Hämäläinen, K Marinkovic, D L Schacter, B R Rosen,[...]. Proc Natl Acad Sci U S A 2006
793
6

In praise of artifice.
Nicole C Rust, J Anthony Movshon. Nat Neurosci 2005
109
6

Spatial frequency selectivity of cells in macaque visual cortex.
R L De Valois, D G Albrecht, L G Thorell. Vision Res 1982
790
6





Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
382
6


Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
575
6

Predicting neuronal responses during natural vision.
Stephen V David, Jack L Gallant. Network 2005
84
7

Nonlinear V1 responses to natural scenes revealed by neural network analysis.
Ryan Prenger, Michael C-K Wu, Stephen V David, Jack L Gallant. Neural Netw 2004
34
17

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
173
6

Cortical sensitivity to visual features in natural scenes.
Gidon Felsen, Jon Touryan, Feng Han, Yang Dan. PLoS Biol 2005
104
6


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.