Literature DB >> 10046895

Suppressing chaos in neural networks by noise.

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Abstract

Year:  1992        PMID: 10046895     DOI: 10.1103/PhysRevLett.69.3717

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


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  17 in total

1.  Low-dimensional dynamics of structured random networks.

Authors:  Johnatan Aljadeff; David Renfrew; Marina Vegué; Tatyana O Sharpee
Journal:  Phys Rev E       Date:  2016-02-05       Impact factor: 2.529

2.  Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.

Authors:  Philippe Vincent-Lamarre; Guillaume Lajoie; Jean-Philippe Thivierge
Journal:  J Comput Neurosci       Date:  2016-09-02       Impact factor: 1.621

3.  Beyond the edge of chaos: amplification and temporal integration by recurrent networks in the chaotic regime.

Authors:  T Toyoizumi; L F Abbott
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-11-14

4.  Transition to chaos in random networks with cell-type-specific connectivity.

Authors:  Johnatan Aljadeff; Merav Stern; Tatyana Sharpee
Journal:  Phys Rev Lett       Date:  2015-02-23       Impact factor: 9.161

5.  Recurrent Network Models of Sequence Generation and Memory.

Authors:  Kanaka Rajan; Christopher D Harvey; David W Tank
Journal:  Neuron       Date:  2016-03-10       Impact factor: 17.173

6.  Generating coherent patterns of activity from chaotic neural networks.

Authors:  David Sussillo; L F Abbott
Journal:  Neuron       Date:  2009-08-27       Impact factor: 17.173

7.  Chaos and reliability in balanced spiking networks with temporal drive.

Authors:  Guillaume Lajoie; Kevin K Lin; Eric Shea-Brown
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-05-06

8.  A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputs.

Authors:  Olivier Faugeras; Jonathan Touboul; Bruno Cessac
Journal:  Front Comput Neurosci       Date:  2009-02-18       Impact factor: 2.380

9.  Simple, fast and accurate implementation of the diffusion approximation algorithm for stochastic ion channels with multiple states.

Authors:  Patricio Orio; Daniel Soudry
Journal:  PLoS One       Date:  2012-05-22       Impact factor: 3.240

10.  Conductance-based neuron models and the slow dynamics of excitability.

Authors:  Daniel Soudry; Ron Meir
Journal:  Front Comput Neurosci       Date:  2012-02-16       Impact factor: 2.380

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