Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112179
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Type: Journal article
Title: Encoding efficiency of suprathreshold stochastic resonance on stimulus-specific information
Author: Duan, F.
Chapeau-Blondeau, F.
Abbott, D.
Citation: Physics Letters A: General Physics, Nonlinear Science, Statistical Physics, Atomic, Molecular and Cluster Physics, Plasma and Fluid Physics, Condensed Matter, Cross-disciplinary Physics, Biological Physics, Nanosciences, Quantum Physics, 2016; 380(1-2):33-39
Publisher: Elsevier
Issue Date: 2016
ISSN: 0375-9601
1873-2429
Abstract: In this paper, we evaluate the encoding efficiency of suprathreshold stochastic resonance (SSR) based on a local information-theoretic measure of stimulus-specific information (SSI), which is the average specific information of responses associated with a particular stimulus. The theoretical and numerical analyses of SSIs reveal that noise can improve neuronal coding efficiency for a large population of neurons, which leads to produce increased information-rich responses. The SSI measure, in contrast to the global measure of average mutual information, can characterize the noise benefits in finer detail for describing the enhancement of neuronal encoding efficiency of a particular stimulus, which may be of general utility in the design and implementation of a SSR coding scheme.
DOI: 10.1016/j.physleta.2015.09.043
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