(Q51656954)

9 April 2018

title

Stimulus-dependent suppression of chaos in recurrent neural networks. (English)

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9 April 2018

main subject

recurrent neural network

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Kanaka Rajan

1

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9 April 2018

L F Abbott

series ordinal

2

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Haim Sompolinsky

series ordinal

3

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language of work or name

English

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publication date

7 July 2010

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9 April 2018

published in

Physical Review E

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9 April 2018

volume

82

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issue

1 Pt 1

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9 April 2018

page(s)

011903

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9 April 2018

Chaos in Random Neural Networks

cites work

1 reference

https://api.crossref.org/works/10.1103%2FPHYSREVE.82.011903

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Phase synchronization and suppression of chaos through intermittency in forcing of an electrochemical oscillator.

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A unifying definition of synchronization for dynamical systems

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Elimination of spiral chaos by periodic force for the Aliev-Panfilov model

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Real-time computation at the edge of chaos in recurrent neural networks.

21 January 2018

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Eigenvalue Spectra of Random Matrices for Neural Networks

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Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses.

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Neural variability in premotor cortex provides a signature of motor preparation.

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The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex

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Differential attention-dependent response modulation across cell classes in macaque visual area V4.

21 January 2018

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Stimulus onset quenches neural variability: a widespread cortical phenomenon

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21 January 2018

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21 January 2018

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21 January 2018

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Stimulus contrast modulates functional connectivity in visual cortex.

21 January 2018

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10.1103/PHYSREVE.82.011903

21 January 2018

Identifiers

DOI

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9 April 2018

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9 April 2018