A citation-based method for searching scientific literature

Tatyana O Sharpee, Kenneth D Miller, Michael P Stryker. J Neurophysiol 2008
Times Cited: 34







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



Times Cited
  Times     Co-cited
Similarity


Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
180
47


Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
291
35

The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields.
G Björn Christianson, Maneesh Sahani, Jennifer F Linden. J Neurosci 2008
82
32

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
239
32

Cooperative nonlinearities in auditory cortical neurons.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. Neuron 2008
87
29

Linearity of cortical receptive fields measured with natural sounds.
Christian K Machens, Michael S Wehr, Anthony M Zador. J Neurosci 2004
194
29

Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.
F E Theunissen, S V David, N C Singh, A Hsu, W E Vinje, J L Gallant. Network 2001
216
29

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


Adaptive filtering enhances information transmission in visual cortex.
Tatyana O Sharpee, Hiroki Sugihara, Andrei V Kurgansky, Sergei P Rebrik, Michael P Stryker, Kenneth D Miller. Nature 2006
199
29


Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds.
Sarah M N Woolley, Thane E Fremouw, Anne Hsu, Frédéric E Theunissen. Nat Neurosci 2005
174
23

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
23




Natural stimulus statistics alter the receptive field structure of v1 neurons.
Stephen V David, William E Vinje, Jack L Gallant. J Neurosci 2004
199
20

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
168
17

Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain.
Monty A Escabi, Christoph E Schreiner. J Neurosci 2002
142
17

The receptive-field organization of simple cells in primary visual cortex of ferrets under natural scene stimulation.
Darragh Smyth, Ben Willmore, Gary E Baker, Ian D Thompson, David J Tolhurst. J Neurosci 2003
90
17


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
337
17

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
935
17





Synergy in a neural code.
N Brenner, S P Strong, R Koberle, W Bialek, R R de Ruyter van Steveninck. Neural Comput 2000
187
14




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
592
14



Sound representation methods for spectro-temporal receptive field estimation.
Patrick Gill, Junli Zhang, Sarah M N Woolley, Thane Fremouw, Frédéric E Theunissen. J Comput Neurosci 2006
60
14

A generalized linear model for estimating spectrotemporal receptive fields from responses to natural sounds.
Ana Calabrese, Joseph W Schumacher, David M Schneider, Liam Paninski, Sarah M N Woolley. PLoS One 2011
68
14

Cortical sensitivity to visual features in natural scenes.
Gidon Felsen, Jon Touryan, Feng Han, Yang Dan. PLoS Biol 2005
110
14

Minimal models of multidimensional computations.
Jeffrey D Fitzgerald, Lawrence C Sincich, Tatyana O Sharpee. PLoS Comput Biol 2011
24
20

Dynamic spectrotemporal feature selectivity in the auditory midbrain.
Nicholas A Lesica, Benedikt Grothe. J Neurosci 2008
47
14

Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
306
14

Hierarchical computation in the canonical auditory cortical circuit.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. Proc Natl Acad Sci U S A 2009
72
14

Second order dimensionality reduction using minimum and maximum mutual information models.
Jeffrey D Fitzgerald, Ryan J Rowekamp, Lawrence C Sincich, Tatyana O Sharpee. PLoS Comput Biol 2011
37
14

Feature analysis of natural sounds in the songbird auditory forebrain.
K Sen, F E Theunissen, A J Doupe. J Neurophysiol 2001
163
11

Adaptive rescaling maximizes information transmission.
N Brenner, W Bialek, R de Ruyter van Steveninck. Neuron 2000
390
11

On the classification of simple and complex cells.
Ferenc Mechler, Dario L Ringach. Vision Res 2002
147
11

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
496
11

The contribution of spike threshold to acoustic feature selectivity, spike information content, and information throughput.
Monty A Escabí, Reza Nassiri, Lee M Miller, Christoph E Schreiner, Heather L Read. J Neurosci 2005
29
13


Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
11


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.