A citation-based method for searching scientific literature

Murat Okatan, Matthew A Wilson, Emery N Brown. Neural Comput 2005
Times Cited: 129







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



Times Cited
  Times     Co-cited
Similarity


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
66

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
57

Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
73
41

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
29

Maximum likelihood identification of neural point process systems.
E S Chornoboy, L P Schramm, A F Karr. Biol Cybern 1988
68
42


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
47

Dynamics of neuronal firing correlation: modulation of "effective connectivity".
A M Aertsen, G L Gerstein, M K Habib, G Palm. J Neurophysiol 1989
701
25

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
719
22


Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
126
21

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
20

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
21



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
15

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
58
24

Measuring information transfer
Schreiber. Phys Rev Lett 2000
989
14

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
14

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Felipe Gerhard, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, Wulfram Gerstner. Front Comput Neurosci 2011
61
22

Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies.
L Martignon, G Deco, K Laskey, M Diamond, W Freiwald, E Vaadia. Neural Comput 2000
86
15

Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data.
Zhe Chen, David F Putrino, Soumya Ghosh, Riccardo Barbieri, Emery N Brown. IEEE Trans Neural Syst Rehabil Eng 2011
28
46

Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality.
Andrea Brovelli, Mingzhou Ding, Anders Ledberg, Yonghong Chen, Richard Nakamura, Steven L Bressler. Proc Natl Acad Sci U S A 2004
586
12

Statistical issues in the analysis of neuronal data.
Robert E Kass, Valérie Ventura, Emery N Brown. J Neurophysiol 2005
161
12

Correlations without synchrony
Brody. Neural Comput 1999
216
12

Large-scale recording of neuronal ensembles.
György Buzsáki. Nat Neurosci 2004
839
12

Organization of cell assemblies in the hippocampus.
Kenneth D Harris, Jozsef Csicsvari, Hajime Hirase, George Dragoi, György Buzsáki. Nature 2003
465
11

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
11

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
157
11



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
11

Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex.
Shigeyoshi Fujisawa, Asohan Amarasingham, Matthew T Harrison, György Buzsáki. Nat Neurosci 2008
368
11

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
13

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
202
11

A small world of neuronal synchrony.
Shan Yu, Debin Huang, Wolf Singer, Danko Nikolic. Cereb Cortex 2008
169
10

Analyzing multiple spike trains with nonparametric Granger causality.
Aatira G Nedungadi, Govindan Rangarajan, Neeraj Jain, Mingzhou Ding. J Comput Neurosci 2009
49
20

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
10

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
123
10

Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals.
Olav Stetter, Demian Battaglia, Jordi Soriano, Theo Geisel. PLoS Comput Biol 2012
107
10

An analysis of neural receptive field plasticity by point process adaptive filtering.
E N Brown, D P Nguyen, L M Frank, M A Wilson, V Solo. Proc Natl Acad Sci U S A 2001
67
13

Analysis of between-trial and within-trial neural spiking dynamics.
Gabriela Czanner, Uri T Eden, Sylvia Wirth, Marianna Yanike, Wendy A Suzuki, Emery N Brown. J Neurophysiol 2008
64
14






Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
903
8

Evaluating information transfer between auditory cortical neurons.
Boris Gourévitch, Jos J Eggermont. J Neurophysiol 2007
88
9

Collective dynamics of 'small-world' networks.
D J Watts, S H Strogatz. Nature 1998
8


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.