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Proceedings Paper

Cross-spectral measurement of neural signal transfer
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Paper Abstract

The phenomenon of noise enhanced signal transfer, or stochastic resonance, has been observed in many nonlinear systems such as neurons and ion channels. Initial studies of stochastic resonance focused on systems driven by a periodic signal, and hence used a signal to noise ratio based measure for comparison between the input and output of the system. It has been pointed out that for the more general case of aperiodic signals other measures are required, such as cross-correlation or information theoretical tools. In this paper we present simulation results obtained in a model neural system driven by a broadband aperiodic signal, and producing a signal imitating neural spikes. The system is analyzed by using cross-spectral measures.

Paper Details

Date Published: 25 May 2004
PDF: 10 pages
Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); doi: 10.1117/12.546926
Show Author Affiliations
Mark D. McDonnell, Univ. of Adelaide (Australia)
Swaminathan Sethuraman, Texas A&M Univ. (United States)
Laszlo B. Kish, Texas A&M Univ. (United States)
Derek Abbott, Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 5471:
Noise in Complex Systems and Stochastic Dynamics II
Zoltan Gingl, Editor(s)

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