A citation-based method for searching scientific literature

Bruno A Olshausen, David J Field. Neural Comput 2005
Times Cited: 186







List of co-cited articles
1235 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
273
27



Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
930
19

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
767
14



Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
197
13


Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
13

Receptive field organization of complex cells in the cat's striate cortex.
J A Movshon, I D Thompson, D J Tolhurst. J Physiol 1978
458
10



Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
314
10

A natural approach to studying vision.
Gidon Felsen, Yang Dan. Nat Neurosci 2005
157
9

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
265
9

Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
9




Sparse coding of sensory inputs.
Bruno A Olshausen, David J Field. Curr Opin Neurobiol 2004
557
8

Predicting neuronal responses during natural vision.
Stephen V David, Jack L Gallant. Network 2005
89
8




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
82
9

Orientation selectivity in macaque V1: diversity and laminar dependence.
Dario L Ringach, Robert M Shapley, Michael J Hawken. J Neurosci 2002
372
8

Less is more: expectation sharpens representations in the primary visual cortex.
Peter Kok, Janneke F M Jehee, Floris P de Lange. Neuron 2012
322
7

A theory of cortical responses.
Karl Friston. Philos Trans R Soc Lond B Biol Sci 2005
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
39
17


Computational identification of receptive fields.
Tatyana O Sharpee. Annu Rev Neurosci 2013
44
15

How does the brain solve visual object recognition?
James J DiCarlo, Davide Zoccolan, Nicole C Rust. Neuron 2012
523
7


Natural signal statistics and sensory gain control.
O Schwartz, E P Simoncelli. Nat Neurosci 2001
416
6


In praise of artifice.
Nicole C Rust, J Anthony Movshon. Nat Neurosci 2005
125
6


Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
179
6

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
860
6

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
166
6


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
336
6

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
6


Top-down influences on visual processing.
Charles D Gilbert, Wu Li. Nat Rev Neurosci 2013
406
6

Neural representation of natural images in visual area V2.
Ben D B Willmore, Ryan J Prenger, Jack L Gallant. J Neurosci 2010
70
8

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
436
6

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
6

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
37
16


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.