A citation-based method for searching scientific literature

Minjoon Kouh, Tatyana O Sharpee. Network 2009
Times Cited: 21







List of co-cited articles
201 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
179
90

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
85


Spatiotemporal elements of macaque v1 receptive fields.
Nicole C Rust, Odelia Schwartz, J Anthony Movshon, Eero P Simoncelli. Neuron 2005
265
61





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
215
42

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
110
42


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
42

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
42

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
590
38


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
487
38

Cooperative nonlinearities in auditory cortical neurons.
Craig A Atencio, Tatyana O Sharpee, Christoph E Schreiner. Neuron 2008
86
38

Synergy in a neural code.
N Brenner, S P Strong, R Koberle, W Bialek, R R de Ruyter van Steveninck. Neural Comput 2000
187
38

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
38


Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
38

The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields.
G Björn Christianson, Maneesh Sahani, Jennifer F Linden. J Neurosci 2008
82
33

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
33

The neural code of the retina.
M Meister, M J Berry. Neuron 1999
250
33

Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
291
33


ePPR: a new strategy for the characterization of sensory cells from input/output data.
Joaquín Rapela, Gidon Felsen, Jon Touryan, Jerry M Mendel, Norberto M Grzywacz. Network 2010
9
66

Natural image statistics and neural representation.
E P Simoncelli, B A Olshausen. Annu Rev Neurosci 2001
930
28

Minimal models of multidimensional computations.
Jeffrey D Fitzgerald, Lawrence C Sincich, Tatyana O Sharpee. PLoS Comput Biol 2011
24
28

Modulation spectra of natural sounds and ethological theories of auditory processing.
Nandini C Singh, Frédéric E Theunissen. J Acoust Soc Am 2003
259
23

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
123
23

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
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


Statistics of natural images: Scaling in the woods.
Ruderman, Bialek. Phys Rev Lett 1994
336
23

Linearity of cortical receptive fields measured with natural sounds.
Christian K Machens, Michael S Wehr, Anthony M Zador. J Neurosci 2004
194
23

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
23

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
202
23

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
166
23

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
23


Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
75
23

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
191
19

Estimating sparse spectro-temporal receptive fields with natural stimuli.
Stephen V David, Nima Mesgarani, Shihab A Shamma. Network 2007
73
19

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
154
19



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
19


On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.
Tatyana O Sharpee, Kenneth D Miller, Michael P Stryker. J Neurophysiol 2008
34
19


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.