A citation-based method for searching scientific literature

Sompolinsky, Crisanti, Sommers. Phys Rev Lett 1988
Times Cited: 240







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



Times Cited
  Times     Co-cited
Similarity




Stimulus-dependent suppression of chaos in recurrent neural networks.
Kanaka Rajan, L F Abbott, Haim Sompolinsky. Phys Rev E Stat Nonlin Soft Matter Phys 2010
107
27







Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
19

Asynchronous Rate Chaos in Spiking Neuronal Circuits.
Omri Harish, David Hansel. PLoS Comput Biol 2015
40
45

Eigenvalue spectra of random matrices for neural networks.
Kanaka Rajan, L F Abbott. Phys Rev Lett 2006
93
18


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
16

Real-time computation at the edge of chaos in recurrent neural networks.
Nils Bertschinger, Thomas Natschläger. Neural Comput 2004
224
15

From fixed points to chaos: three models of delayed discrimination.
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, L F Abbott. Prog Neurobiol 2013
70
21



Transition to chaos in random networks with cell-type-specific connectivity.
Johnatan Aljadeff, Merav Stern, Tatyana Sharpee. Phys Rev Lett 2015
31
45


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
46


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
13

Intrinsically-generated fluctuating activity in excitatory-inhibitory networks.
Francesca Mastrogiuseppe, Srdjan Ostojic. PLoS Comput Biol 2017
22
59

Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
113
13


Building functional networks of spiking model neurons.
L F Abbott, Brian DePasquale, Raoul-Martin Memmesheimer. Nat Neurosci 2016
60
20

Suppressing chaos in neural networks by noise.
Molgedey, Schuchhardt, Schuster. Phys Rev Lett 1992
34
32

Neural circuits as computational dynamical systems.
David Sussillo. Curr Opin Neurobiol 2014
70
15

Topological and dynamical complexity of random neural networks.
Gilles Wainrib, Jonathan Touboul. Phys Rev Lett 2013
29
37

Chaotic balanced state in a model of cortical circuits.
C van Vreeswijk, H Sompolinsky. Neural Comput 1998
373
11

State-dependent computations: spatiotemporal processing in cortical networks.
Dean V Buonomano, Wolfgang Maass. Nat Rev Neurosci 2009
404
11



Properties of networks with partially structured and partially random connectivity.
Yashar Ahmadian, Francesco Fumarola, Kenneth D Miller. Phys Rev E Stat Nonlin Soft Matter Phys 2015
22
45

Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
497
10


Slow fluctuations in recurrent networks of spiking neurons.
Stefan Wieland, Davide Bernardi, Tilo Schwalger, Benjamin Lindner. Phys Rev E Stat Nonlin Soft Matter Phys 2015
26
38

Theory of orientation tuning in visual cortex.
R Ben-Yishai, R L Bar-Or, H Sompolinsky. Proc Natl Acad Sci U S A 1995
543
9

A neural network that finds a naturalistic solution for the production of muscle activity.
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
141
9






Memory traces in dynamical systems.
Surya Ganguli, Dongsung Huh, Haim Sompolinsky. Proc Natl Acad Sci U S A 2008
108
8

Predictive coding of dynamical variables in balanced spiking networks.
Martin Boerlin, Christian K Machens, Sophie Denève. PLoS Comput Biol 2013
85
9

Spectrum of large random asymmetric matrices.
Sommers, Crisanti, Sompolinsky, Stein. Phys Rev Lett 1988
76
10


From spiking neuron models to linear-nonlinear models.
Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011
90
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.