A citation-based method for searching scientific literature

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
Times Cited: 52







List of co-cited articles
434 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
585
73

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
484
44

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
58
34

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
710
32


Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
492
26

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
23

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
808
21

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
124
19

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
19

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
166
17

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
17



Decorrelated neuronal firing in cortical microcircuits.
Alexander S Ecker, Philipp Berens, Georgios A Keliris, Matthias Bethge, Nikos K Logothetis, Andreas S Tolias. Science 2010
356
17

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
190
17

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
307
17

Diverse coupling of neurons to populations in sensory cortex.
Michael Okun, Nicholas Steinmetz, Lee Cossell, M Florencia Iacaruso, Ho Ko, Péter Barthó, Tirin Moore, Sonja B Hofer, Thomas D Mrsic-Flogel, Matteo Carandini,[...]. Nature 2015
176
17


Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
72
15


Whole-brain functional imaging at cellular resolution using light-sheet microscopy.
Misha B Ahrens, Michael B Orger, Drew N Robson, Jennifer M Li, Philipp J Keller. Nat Methods 2013
575
15

The Nature of Shared Cortical Variability.
I-Chun Lin, Michael Okun, Matteo Carandini, Kenneth D Harris. Neuron 2015
103
15

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
221
15

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
156
13

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
13

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
201
13


Stimulus onset quenches neural variability: a widespread cortical phenomenon.
Mark M Churchland, Byron M Yu, John P Cunningham, Leo P Sugrue, Marlene R Cohen, Greg S Corrado, William T Newsome, Andrew M Clark, Paymon Hosseini, Benjamin B Scott,[...]. Nat Neurosci 2010
509
13

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
207
13

Fast nonnegative deconvolution for spike train inference from population calcium imaging.
Joshua T Vogelstein, Adam M Packer, Timothy A Machado, Tanya Sippy, Baktash Babadi, Rafael Yuste, Liam Paninski. J Neurophysiol 2010
198
13

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
95
13

Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
219
13

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
11

Higher-order interactions characterized in cortical activity.
Shan Yu, Hongdian Yang, Hiroyuki Nakahara, Gustavo S Santos, Danko Nikolić, Dietmar Plenz. J Neurosci 2011
90
11

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
11

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
373
11

Redundancy in the population code of the retina.
Jason L Puchalla, Elad Schneidman, Robert A Harris, Michael J Berry. Neuron 2005
133
11

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
122
11


Correlation between neural spike trains increases with firing rate.
Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007
383
11

Bayesian inference for generalized linear models for spiking neurons.
Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Front Comput Neurosci 2010
32
18

Successful reconstruction of a physiological circuit with known connectivity from spiking activity alone.
Felipe Gerhard, Tilman Kispersky, Gabrielle J Gutierrez, Eve Marder, Mark Kramer, Uri Eden. PLoS Comput Biol 2013
38
15

The architecture of functional interaction networks in the retina.
Elad Ganmor, Ronen Segev, Elad Schneidman. J Neurosci 2011
47
12

Population coding in neuronal systems with correlated noise.
H Sompolinsky, H Yoon, K Kang, M Shamir. Phys Rev E Stat Nonlin Soft Matter Phys 2001
201
11


Stimulus-dependent maximum entropy models of neural population codes.
Einat Granot-Atedgi, Gašper Tkačik, Ronen Segev, Elad Schneidman. PLoS Comput Biol 2013
32
18



Network information and connected correlations.
Elad Schneidman, Susanne Still, Michael J Berry, William Bialek. Phys Rev Lett 2003
100
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.