Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/2354
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Type: Journal article
Title: Information transfer rate of neurons: Stochastic reasonance of Shannon's information channel capacity
Author: Kish, L.
Harmer, G.
Abbott, D.
Citation: Fluctuation and Noise Letters, 2001; 1(1):L13-L19
Publisher: World Scientific Publishing Co. Pty. Ltd.
Issue Date: 2001
ISSN: 0219-4775
1793-6780
Statement of
Responsibility: 
Laszlo B. Kish, Gregory P. Harmer and Derek Abbott
Abstract: The information channel capacity of neurons is calculated in the stochastic resonance region using Shannon's formula. This quantity is an effective measure of the quality of signal transfer, unlike the information theoretic calculations previously used, which only characterize the entropy of the output and not the rate of information transfer. The Shannon channel capacity shows a well pronounced maximum versus input noise intensity. The location of the maximum is at a higher input noise level than has been observed for classical measures, such as signal-to-noise ratio.
Keywords: Information transfer; Stochastic resonance; Signal to noise ratio; Neural signals; Neurons; Nervous system
Description: © World Scientific Publishing Company
RMID: 0020012201
DOI: 10.1142/S0219477501000093
Appears in Collections:Electrical and Electronic Engineering publications

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