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: 55







List of co-cited articles
472 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
592
70

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
489
41

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
59
32

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
724
30


Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
513
25

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
830
23

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
21


Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
125
18

Decorrelated neuronal firing in cortical microcircuits.
Alexander S Ecker, Philipp Berens, Georgios A Keliris, Matthias Bethge, Nikos K Logothetis, Andreas S Tolias. Science 2010
365
18

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
18

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
18

The Nature of Shared Cortical Variability.
I-Chun Lin, Michael Okun, Matteo Carandini, Kenneth D Harris. Neuron 2015
111
18

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
226
18

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
16

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
16



Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
324
16

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
182
16


Inferring functional connections between neurons.
Ian H Stevenson, James M Rebesco, Lee E Miller, Konrad P Körding. Curr Opin Neurobiol 2008
73
14

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
591
14

Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
230
14

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
158
12

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
12

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
204
12


Correlation between neural spike trains increases with firing rate.
Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007
387
12


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
522
12

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
213
12

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
203
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
205
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
98
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
10

Higher-order interactions characterized in cortical activity.
Shan Yu, Hongdian Yang, Hiroyuki Nakahara, Gustavo S Santos, Danko Nikolić, Dietmar Plenz. J Neurosci 2011
94
10

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
10

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
10

Redundancy in the population code of the retina.
Jason L Puchalla, Elad Schneidman, Robert A Harris, Michael J Berry. Neuron 2005
134
10

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

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


Stimulus-dependent maximum entropy models of neural population codes.
Einat Granot-Atedgi, Gašper Tkačik, Ronen Segev, Elad Schneidman. PLoS Comput Biol 2013
33
18

The structure and precision of retinal spike trains.
M J Berry, D K Warland, M Meister. Proc Natl Acad Sci U S A 1997
310
10



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.