A citation-based method for searching scientific literature

Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Front Comput Neurosci 2010
Times Cited: 32







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



Times Cited
  Times     Co-cited
Similarity


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
68

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
50


Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
719
28

Bayesian inference of functional connectivity and network structure from spikes.
Ian H Stevenson, James M Rebesco, Nicholas G Hatsopoulos, Zach Haga, Lee E Miller, Konrad P Körding. IEEE Trans Neural Syst Rehabil Eng 2009
59
28

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
28



Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
179
21

Dynamics of neuronal firing correlation: modulation of "effective connectivity".
A M Aertsen, G L Gerstein, M K Habib, G Palm. J Neurophysiol 1989
701
18

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
18

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W Pillow, Jayant Kulkarni, Alan M Litke, E J Chichilnisky, Eero Simoncelli, Liam Paninski. J Comput Neurosci 2012
55
18

Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
73
18


Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
374
15


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
15

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
44
15

A new look at state-space models for neural data.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu. J Comput Neurosci 2010
84
12


The time-rescaling theorem and its application to neural spike train data analysis.
Emery N Brown, Riccardo Barbieri, Valérie Ventura, Robert E Kass, Loren M Frank. Neural Comput 2002
251
12

Estimating the directed information to infer causal relationships in ensemble neural spike train recordings.
Christopher J Quinn, Todd P Coleman, Negar Kiyavash, Nicholas G Hatsopoulos. J Comput Neurosci 2011
55
12

Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
505
12

Statistical signs of synaptic interaction in neurons.
G P Moore, J P Segundo, D H Perkel, H Levitan. Biophys J 1970
489
12


Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
12

Refractoriness and neural precision.
M J Berry, M Meister. J Neurosci 1998
244
12

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
166
12


A Granger causality measure for point process models of ensemble neural spiking activity.
Sanggyun Kim, David Putrino, Soumya Ghosh, Emery N Brown. PLoS Comput Biol 2011
91
12

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
12

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
75
12

Searching for collective behavior in a large network of sensory neurons.
Gašper Tkačik, Olivier Marre, Dario Amodei, Elad Schneidman, William Bialek, Michael J Berry. PLoS Comput Biol 2014
97
12


Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions.
Dong Song, Haonan Wang, Catherine Y Tu, Vasilis Z Marmarelis, Robert E Hampson, Sam A Deadwyler, Theodore W Berger. J Comput Neurosci 2013
35
12

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction.
Ross S Williamson, Maneesh Sahani, Jonathan W Pillow. PLoS Comput Biol 2015
17
23

A small world of neuronal synchrony.
Shan Yu, Debin Huang, Wolf Singer, Danko Nikolic. Cereb Cortex 2008
169
9

Reading a neural code.
W Bialek, F Rieke, R R de Ruyter van Steveninck, D Warland. Science 1991
528
9

Highly nonrandom features of synaptic connectivity in local cortical circuits.
Sen Song, Per Jesper Sjöström, Markus Reigl, Sacha Nelson, Dmitri B Chklovskii. PLoS Biol 2005
781
9

A spike-train probability model.
R E Kass, V Ventura. Neural Comput 2001
118
9

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
823
9

Correlations without synchrony
Brody. Neural Comput 1999
216
9



The structure of multi-neuron firing patterns in primate retina.
Jonathon Shlens, Greg D Field, Jeffrey L Gauthier, Matthew I Grivich, Dumitru Petrusca, Alexander Sher, Alan M Litke, E J Chichilnisky. J Neurosci 2006
246
9

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
9

Predicting every spike: a model for the responses of visual neurons.
J Keat, P Reinagel, R C Reid, M Meister. Neuron 2001
202
9

Triggered correlation.
R de Boer, P Kuyper. IEEE Trans Biomed Eng 1968
291
9




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.