A citation-based method for searching scientific literature

Carson C Chow, Michael A Buice. J Math Neurosci 2015
Times Cited: 11







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



Times Cited
  Times     Co-cited
Similarity




Chaos in random neural networks.
Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
240
45

Systematic fluctuation expansion for neural network activity equations.
Michael A Buice, Jack D Cowan, Carson C Chow. Neural Comput 2010
63
36

Field-theoretic approach to fluctuation effects in neural networks.
Michael A Buice, Jack D Cowan. Phys Rev E Stat Nonlin Soft Matter Phys 2007
74
36

Impact of network structure and cellular response on spike time correlations.
James Trousdale, Yu Hu, Eric Shea-Brown, Krešimir Josić. PLoS Comput Biol 2012
80
36

Chaotic balanced state in a model of cortical circuits.
C van Vreeswijk, H Sompolinsky. Neural Comput 1998
373
36

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
553
36

How structure determines correlations in neuronal networks.
Volker Pernice, Benjamin Staude, Stefano Cardanobile, Stefan Rotter. PLoS Comput Biol 2011
117
36

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
36

Linking structure and activity in nonlinear spiking networks.
Gabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown, Michael A Buice. PLoS Comput Biol 2017
20
36



The mechanics of state-dependent neural correlations.
Brent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, Gabriel K Ocker, Krešimir Josić. Nat Neurosci 2016
98
27

Synchronization from second order network connectivity statistics.
Liqiong Zhao, Bryce Beverlin, Theoden Netoff, Duane Q Nykamp. Front Comput Neurosci 2011
49
27

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
823
27


A synaptic organizing principle for cortical neuronal groups.
Rodrigo Perin, Thomas K Berger, Henry Markram. Proc Natl Acad Sci U S A 2011
333
27

Intrinsically-generated fluctuating activity in excitatory-inhibitory networks.
Francesca Mastrogiuseppe, Srdjan Ostojic. PLoS Comput Biol 2017
22
27

Asynchronous Rate Chaos in Spiking Neuronal Circuits.
Omri Harish, David Hansel. PLoS Comput Biol 2015
40
27



Spectrum of large random asymmetric matrices.
Sommers, Crisanti, Sompolinsky, Stein. Phys Rev Lett 1988
76
27

Predicting how and when hidden neurons skew measured synaptic interactions.
Braden A W Brinkman, Fred Rieke, Eric Shea-Brown, Michael A Buice. PLoS Comput Biol 2018
8
37

Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding.
Eric Shea-Brown, Kresimir Josić, Jaime de la Rocha, Brent Doiron. Phys Rev Lett 2008
87
27

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
719
27

What geometric visual hallucinations tell us about the visual cortex.
Paul C Bressloff, Jack D Cowan, Martin Golubitsky, Peter J Thomas, Matthew C Wiener. Neural Comput 2002
80
18

Emergent oscillations in networks of stochastic spiking neurons.
Edward Wallace, Marc Benayoun, Wim van Drongelen, Jack D Cowan. PLoS One 2011
49
18

A mathematical theory of visual hallucination patterns.
G B Ermentrout, J D Cowan. Biol Cybern 1979
194
18

Wilson-Cowan Equations for Neocortical Dynamics.
Jack D Cowan, Jeremy Neuman, Wim van Drongelen. J Math Neurosci 2016
28
18

Master-equation approach to stochastic neurodynamics.
Ohira, Cowan. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1993
19
18



Beyond mean field theory: statistical field theory for neural networks.
Michael A Buice, Carson C Chow. J Stat Mech 2013
19
18

Functional organization of excitatory synaptic strength in primary visual cortex.
Lee Cossell, Maria Florencia Iacaruso, Dylan R Muir, Rachael Houlton, Elie N Sader, Ho Ko, Sonja B Hofer, Thomas D Mrsic-Flogel. Nature 2015
213
18

Transition to chaos in random networks with cell-type-specific connectivity.
Johnatan Aljadeff, Merav Stern, Tatyana Sharpee. Phys Rev Lett 2015
31
18

Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses.
Gabriel Koch Ocker, Ashok Litwin-Kumar, Brent Doiron. PLoS Comput Biol 2015
27
18

Dynamics of random neural networks with bistable units.
M Stern, H Sompolinsky, L F Abbott. Phys Rev E Stat Nonlin Soft Matter Phys 2014
30
18

Local paths to global coherence: cutting networks down to size.
Yu Hu, James Trousdale, Krešimir Josić, Eric Shea-Brown. Phys Rev E Stat Nonlin Soft Matter Phys 2014
18
18


Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus.
Brent Doiron, Benjamin Lindner, André Longtin, Leonard Maler, Joseph Bastian. Phys Rev Lett 2004
63
18

Information-limiting correlations.
Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, Alexandre Pouget. Nat Neurosci 2014
228
18

Anatomy and function of an excitatory network in the visual cortex.
Wei-Chung Allen Lee, Vincent Bonin, Michael Reed, Brett J Graham, Greg Hood, Katie Glattfelder, R Clay Reid. Nature 2016
175
18

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
67
18

Theory of correlations in stochastic neural networks.
Ginzburg, Sompolinsky. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1994
101
18


Correlation between neural spike trains increases with firing rate.
Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007
385
18

Once upon a (slow) time in the land of recurrent neuronal networks….
Chengcheng Huang, Brent Doiron. Curr Opin Neurobiol 2017
12
18


Spin-glass models of neural networks.
Amit, Gutfreund, Sompolinsky. Phys Rev A Gen Phys 1985
247
18


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.