A citation-based method for searching scientific literature

Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
Times Cited: 173







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
232
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
575
30

Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
248
27

Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
249
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
466
23


Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
70
32

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



Synergy in a neural code.
N Brenner, S P Strong, R Koberle, W Bialek, R R de Ruyter van Steveninck. Neural Comput 2000
181
19


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
190
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
190
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
66
27


Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
282
17


Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain.
Monty A Escabi, Christoph E Schreiner. J Neurosci 2002
123
17


Linearity of cortical receptive fields measured with natural sounds.
Christian K Machens, Michael S Wehr, Anthony M Zador. J Neurosci 2004
187
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
37
37

Computational identification of receptive fields.
Tatyana O Sharpee. Annu Rev Neurosci 2013
39
35

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
147
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
69
18

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
197
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
41
31

Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
47
27

Adaptive rescaling maximizes information transmission.
N Brenner, W Bialek, R de Ruyter van Steveninck. Neuron 2000
370
13

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
151
13

Contrast gain control in auditory cortex.
Neil C Rabinowitz, Ben D B Willmore, Jan W H Schnupp, Andrew J King. Neuron 2011
128
13

Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
307
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
449
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
210
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
172
11

Estimating sparse spectro-temporal receptive fields with natural stimuli.
Stephen V David, Nima Mesgarani, Shihab A Shamma. Network 2007
68
16

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
188
11

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