A citation-based method for searching scientific literature

Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
Times Cited: 178







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



Times Cited
  Times     Co-cited
Similarity


Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
47


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
585
30


Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
260
27

Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
291
25

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
67


A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
484
23


Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
73
31

Selectivity for multiple stimulus features in retinal ganglion cells.
Adrienne L Fairhall, C Andrew Burlingame, Ramesh Narasimhan, Robert A Harris, Jason L Puchalla, Michael J Berry. J Neurophysiol 2006
108
22


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
214
20

Synergy in a neural code.
N Brenner, S P Strong, R Koberle, W Bialek, R R de Ruyter van Steveninck. Neural Comput 2000
187
19



Cooperative nonlinearities in auditory cortical neurons.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. Neuron 2008
86
20

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
198
18

The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields.
G Björn Christianson, Maneesh Sahani, Jennifer F Linden. J Neurosci 2008
82
21

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
26


Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
306
17


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


Linearity of cortical receptive fields measured with natural sounds.
Christian K Machens, Michael S Wehr, Anthony M Zador. J Neurosci 2004
192
15

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
15

Minimal models of multidimensional computations.
Jeffrey D Fitzgerald, Lawrence C Sincich, Tatyana O Sharpee. PLoS Comput Biol 2011
24
62

Estimating linear-nonlinear models using Renyi divergences.
Minjoon Kouh, Tatyana O Sharpee. Network 2009
21
66

Receptive field dimensionality increases from the auditory midbrain to cortex.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. J Neurophysiol 2012
38
36

Computational identification of receptive fields.
Tatyana O Sharpee. Annu Rev Neurosci 2013
43
32

Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design.
D J Klein, D A Depireux, J Z Simon, S A Shamma. J Comput Neurosci 2000
152
13

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
70
18

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
201
13

Temporal precision in the visual pathway through the interplay of excitation and stimulus-driven suppression.
Daniel A Butts, Chong Weng, Jianzhong Jin, Jose-Manuel Alonso, Liam Paninski. J Neurosci 2011
42
30

Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
49
26

Adaptive rescaling maximizes information transmission.
N Brenner, W Bialek, R de Ruyter van Steveninck. Neuron 2000
385
13

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
162
13

Contrast gain control in auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. Neuron 2011
130
13

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
318
12


Efficiency and ambiguity in an adaptive neural code.
A L Fairhall, G D Lewen, W Bialek, R R de Ruyter Van Steveninck. Nature 2001
465
12


Spectrotemporal contrast kernels for neurons in primary auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. J Neurosci 2012
42
28

Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex.
Lee M Miller, Monty A Escabí, Heather L Read, Christoph E Schreiner. J Neurophysiol 2002
217
11

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
173
11

Estimating sparse spectro-temporal receptive fields with natural stimuli.
Stephen V David, Nima Mesgarani, Shihab A Shamma. Network 2007
71
15

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
190
11

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