Literature DB >> 11088283

Coherence and stochastic resonance in a two-state system

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Abstract

The subject of our study is a two-state dynamics driven by Gaussian white noise and a weak harmonic signal. The system resulting from a piecewise linear FizHugh-Nagumo model in the case of perfect time scale separation between fast and slow variables shows either bistable, excitable, or oscillatory behavior. Its output spectra as well as the spectral power amplification of the signal can be calculated for arbitrary noise strength and frequency, allowing characterization of the coherence resonance in the bistable and excitable regimes as well as quantification of nonadiabatic resonances with respect to the external signal in all regimes.

Year:  2000        PMID: 11088283     DOI: 10.1103/physreve.61.6103

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN: 1063-651X


  6 in total

1.  Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification.

Authors:  Nan Chen; Andrew J Majda
Journal:  Entropy (Basel)       Date:  2018-07-04       Impact factor: 2.524

2.  Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission.

Authors:  Benjamin Lindner; Maurice J Chacron; André Longtin
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-08-26

Review 3.  The benefits of noise in neural systems: bridging theory and experiment.

Authors:  Mark D McDonnell; Lawrence M Ward
Journal:  Nat Rev Neurosci       Date:  2011-06-20       Impact factor: 34.870

4.  Dynamics and Information Import in Recurrent Neural Networks.

Authors:  Claus Metzner; Patrick Krauss
Journal:  Front Comput Neurosci       Date:  2022-04-27       Impact factor: 3.387

Review 5.  Reliability, synchrony and noise.

Authors:  G Bard Ermentrout; Roberto F Galán; Nathaniel N Urban
Journal:  Trends Neurosci       Date:  2008-07-05       Impact factor: 13.837

6.  Balanced excitatory and inhibitory synaptic currents promote efficient coding and metabolic efficiency.

Authors:  Biswa Sengupta; Simon B Laughlin; Jeremy E Niven
Journal:  PLoS Comput Biol       Date:  2013-10-03       Impact factor: 4.475

  6 in total

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