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Type: Journal article
Title: Synaptic signal transduction aided by noise in a dynamical saturating model
Author: Chapeau-Blondeau, F.
Duan, F.
Abbott, D.
Citation: Physical Review E. (Statistical, Nonlinear, and Soft Matter Physics), 2010; 81(2):021124-1-021124-7
Publisher: American Physical Soc
Issue Date: 2010
ISSN: 1539-3755
Statement of
François Chapeau-Blondeau, Fabing Duan, Derek Abbott
Abstract: A generic dynamical model with saturation for neural signal transduction at the synaptic stage is presented. Analysis of this model of a synaptic pathway demonstrates its ability to give rise to stochastic resonance or improvement by noise, at this stage of signal transmission. Beyond the case of the intrinsic threshold nonlinearity of the neuron response, the results extend the feasibility of stochastic resonance to neural saturating dynamics at the synaptic stage. The present results also constitute the exposition of a new type of nonlinear (saturating) dynamics capable of stochastic resonance.
Keywords: Synapses; Stochastic Processes; Signal Transduction; Models, Biological
Rights: ©2010 American Physical Society
RMID: 0020095375
DOI: 10.1103/PhysRevE.81.021124
Appears in Collections:Electrical and Electronic Engineering publications

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