A citation-based method for searching scientific literature

Maoz Shamir, Haim Sompolinsky. Neural Comput 2006
Times Cited: 125







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



Times Cited
  Times     Co-cited
Similarity


The effect of noise correlations in populations of diversely tuned neurons.
Alexander S Ecker, Philipp Berens, Andreas S Tolias, Matthias Bethge. J Neurosci 2011
147
56

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
857
55



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
210
41

Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
252
40

Measuring and interpreting neuronal correlations.
Marlene R Cohen, Adam Kohn. Nat Neurosci 2011
537
35

Decorrelated neuronal firing in cortical microcircuits.
Alexander S Ecker, Philipp Berens, Georgios A Keliris, Matthias Bethge, Nikos K Logothetis, Andreas S Tolias. Science 2010
375
32


Efficient coding in heterogeneous neuronal populations.
Mircea I Chelaru, Valentin Dragoi. Proc Natl Acad Sci U S A 2008
80
30






Decoding the activity of neuronal populations in macaque primary visual cortex.
Arnulf B A Graf, Adam Kohn, Mehrdad Jazayeri, J Anthony Movshon. Nat Neurosci 2011
152
19

Simple models for reading neuronal population codes.
H S Seung, H Sompolinsky. Proc Natl Acad Sci U S A 1993
385
19

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
241
19

Representational accuracy of stochastic neural populations.
Stefan D Wilke, Christian W Eurich. Neural Comput 2002
63
28

State dependence of noise correlations in macaque primary visual cortex.
Alexander S Ecker, Philipp Berens, R James Cotton, Manivannan Subramaniyan, George H Denfield, Cathryn R Cadwell, Stelios M Smirnakis, Matthias Bethge, Andreas S Tolias. Neuron 2014
190
18

Nonlinear population codes.
Maoz Shamir, Haim Sompolinsky. Neural Comput 2004
85
20

The asynchronous state in cortical circuits.
Alfonso Renart, Jaime de la Rocha, Peter Bartho, Liad Hollender, Néstor Parga, Alex Reyes, Kenneth D Harris. Science 2010
585
17

Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.
Jude F Mitchell, Kristy A Sundberg, John H Reynolds. Neuron 2009
444
17

Intermediate intrinsic diversity enhances neural population coding.
Shreejoy J Tripathy, Krishnan Padmanabhan, Richard C Gerkin, Nathaniel N Urban. Proc Natl Acad Sci U S A 2013
58
29

Structures of Neural Correlation and How They Favor Coding.
Felix Franke, Michele Fiscella, Maksim Sevelev, Botond Roska, Andreas Hierlemann, Rava Azeredo da Silveira. Neuron 2016
62
27

Correlations and Neuronal Population Information.
Adam Kohn, Ruben Coen-Cagli, Ingmar Kanitscheider, Alexandre Pouget. Annu Rev Neurosci 2016
144
17

Stimulus-dependent correlations and population codes.
Kresimir Josić, Eric Shea-Brown, Brent Doiron, Jaime de la Rocha. Neural Comput 2009
48
33

Bayesian inference with probabilistic population codes.
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
693
16

Effects of noise correlations on information encoding and decoding.
Bruno B Averbeck, Daeyeol Lee. J Neurophysiol 2006
116
16

High-fidelity coding with correlated neurons.
Rava Azeredo da Silveira, Michael J Berry. PLoS Comput Biol 2014
28
53

The Nature of Shared Cortical Variability.
I-Chun Lin, Michael Okun, Matteo Carandini, Kenneth D Harris. Neuron 2015
112
15

Vector reconstruction from firing rates.
E Salinas, L F Abbott. J Comput Neurosci 1994
288
14

Correlations and the encoding of information in the nervous system.
S Panzeri, S R Schultz, A Treves, E T Rolls. Proc Biol Sci 1999
176
14

Correlation between neural spike trains increases with firing rate.
Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007
393
14

The neural basis for combinatorial coding in a cortical population response.
Leslie C Osborne, Stephanie E Palmer, Stephen G Lisberger, William Bialek. J Neurosci 2008
51
27

Context-dependent changes in functional circuitry in visual area MT.
Marlene R Cohen, William T Newsome. Neuron 2008
161
14

Origin of information-limiting noise correlations.
Ingmar Kanitscheider, Ruben Coen-Cagli, Alexandre Pouget. Proc Natl Acad Sci U S A 2015
59
23


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
174
13

Inferring decoding strategies from choice probabilities in the presence of correlated variability.
Ralf M Haefner, Sebastian Gerwinn, Jakob H Macke, Matthias Bethge. Nat Neurosci 2013
90
14

Perceptual learning reduces interneuronal correlations in macaque visual cortex.
Yong Gu, Sheng Liu, Christopher R Fetsch, Yun Yang, Sam Fok, Adhira Sunkara, Gregory C DeAngelis, Dora E Angelaki. Neuron 2011
138
13


Not noisy, just wrong: the role of suboptimal inference in behavioral variability.
Jeffrey M Beck, Wei Ji Ma, Xaq Pitkow, Peter E Latham, Alexandre Pouget. Neuron 2012
140
13


Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code.
Joel Zylberberg, Jon Cafaro, Maxwell H Turner, Eric Shea-Brown, Fred Rieke. Neuron 2016
71
18

Adaptive coding of visual information in neural populations.
Diego A Gutnisky, Valentin Dragoi. Nature 2008
194
12

Correlated neuronal discharges that increase coding efficiency during perceptual discrimination.
Ranulfo Romo, Adrián Hernández, Antonio Zainos, Emilio Salinas. Neuron 2003
150
12



Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
746
11


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.