Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/59952
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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 1550-2376 |
Statement of Responsibility: | 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 |
DOI: | 10.1103/PhysRevE.81.021124 |
Published version: | http://dx.doi.org/10.1103/physreve.81.021124 |
Appears in Collections: | Aurora harvest 5 Electrical and Electronic Engineering publications |
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hdl_59952.pdf | Published version | 215.91 kB | Adobe PDF | View/Open |
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