A citation-based method for searching scientific literature


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



Times Cited
  Times     Co-cited
Similarity


The architecture of functional interaction networks in the retina.
Elad Ganmor, Ronen Segev, Elad Schneidman. J Neurosci 2011
47
100

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
724
100

Sparse low-order interaction network underlies a highly correlated and learnable neural population code.
Elad Ganmor, Ronen Segev, Elad Schneidman. Proc Natl Acad Sci U S A 2011
96
100


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
249
80

Gibbs distribution analysis of temporal correlations structure in retina ganglion cells.
J C Vasquez, O Marre, A G Palacios, M J Berry, B Cessac. J Physiol Paris 2012
24
80

Prediction of spatiotemporal patterns of neural activity from pairwise correlations.
O Marre, S El Boustani, Y Frégnac, A Destexhe. Phys Rev Lett 2009
62
60

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
193
60

On dynamics of integrate-and-fire neural networks with conductance based synapses.
Bruno Cessac, Thierry Viéville. Front Comput Neurosci 2008
25
60


Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis.
Patricia Reynaud-Bouret, Vincent Rivoirard, Franck Grammont, Christine Tuleau-Malot. J Math Neurosci 2014
7
60

Exact computation of the maximum-entropy potential of spiking neural-network models.
R Cofré, B Cessac. Phys Rev E Stat Nonlin Soft Matter Phys 2014
7
60

Mean field theory for nonequilibrium network reconstruction.
Yasser Roudi, John Hertz. Phys Rev Lett 2011
49
40

A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro.
Aonan Tang, David Jackson, Jon Hobbs, Wei Chen, Jodi L Smith, Hema Patel, Anita Prieto, Dumitru Petrusca, Matthew I Grivich, Alexander Sher,[...]. J Neurosci 2008
158
40

Sparse coding and high-order correlations in fine-scale cortical networks.
Ifije E Ohiorhenuan, Ferenc Mechler, Keith P Purpura, Anita M Schmid, Qin Hu, Jonathan D Victor. Nature 2010
167
40

Optimal population coding by noisy spiking neurons.
Gasper Tkacik, Jason S Prentice, Vijay Balasubramanian, Elad Schneidman. Proc Natl Acad Sci U S A 2010
91
40

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
40

How Precise is the Timing of Action Potentials?
Christoph Kirst, Marc Timme. Front Neurosci 2009
18
40



Overview of facts and issues about neural coding by spikes.
Bruno Cessac, Hélène Paugam-Moisy, Thierry Viéville. J Physiol Paris 2010
23
40


Spike train statistics and Gibbs distributions.
B Cessac, R Cofré. J Physiol Paris 2013
6
40

Stable resonances and signal propagation in a chaotic network of coupled units.
B Cessac, J A Sepulchre. Phys Rev E Stat Nonlin Soft Matter Phys 2004
9
40




Modeling the Correlated Activity of Neural Populations: A Review.
Christophe Gardella, Olivier Marre, Thierry Mora. Neural Comput 2019
3
66


Chaos in random neural networks.
Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
244
40

Thermodynamics and signatures of criticality in a network of neurons.
Gašper Tkačik, Thierry Mora, Olivier Marre, Dario Amodei, Stephanie E Palmer, Michael J Berry, William Bialek. Proc Natl Acad Sci U S A 2015
73
40

Maximum-entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activity.
Trang-Anh Nghiem, Bartosz Telenczuk, Olivier Marre, Alain Destexhe, Ulisse Ferrari. Phys Rev E 2018
6
40



PRANAS: A New Platform for Retinal Analysis and Simulation.
Bruno Cessac, Pierre Kornprobst, Selim Kraria, Hassan Nasser, Daniela Pamplona, Geoffrey Portelli, Thierry Viéville. Front Neuroinform 2017
8
40


On the Mathematical Consequences of Binning Spike Trains.
Bruno Cessac, Arnaud Le Ny, Eva Löcherbach. Neural Comput 2017
2
100

Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains.
Rodrigo Cofré, Cesar Maldonado, Fernando Rosas. Entropy (Basel) 2018
2
100

Repeated patterns of distributed synchrony in neuronal assemblies.
B G Lindsey, K F Morris, R Shannon, G L Gerstein. J Neurophysiol 1997
40
20

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
204
20


Unitary events in multiple single-neuron spiking activity: I. Detection and significance.
Sonja Grün, Markus Diesmann, Ad Aertsen. Neural Comput 2002
114
20

The Ising decoder: reading out the activity of large neural ensembles.
Michael T Schaub, Simon R Schultz. J Comput Neurosci 2012
15
20

Entropy estimation of symbol sequences.
Thomas Schurmann, Peter Grassberger. Chaos 1996
68
20

Statistical issues in the analysis of neuronal data.
Robert E Kass, Valérie Ventura, Emery N Brown. J Neurophysiol 2005
161
20

Recording spikes from a large fraction of the ganglion cells in a retinal patch.
Ronen Segev, Joe Goodhouse, Jason Puchalla, Michael J Berry. Nat Neurosci 2004
140
20

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
375
20

Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task.
A E Villa, I V Tetko, B Hyland, A Najem. Proc Natl Acad Sci U S A 1999
67
20

Hidden neuronal correlations in cultured networks.
Ronen Segev, Itay Baruchi, Eyal Hulata, Eshel Ben-Jacob. Phys Rev Lett 2004
86
20

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
20


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.