UNSPECIFIED (2000) Suprathreshold stochastic resonance in a neuronal network model: A possible strategy for sensory coding. In: Workshop on Future Directions for Intelligent Systems and Information Sciences, NOV 22-23, 1999, DUNEDIN, NEW ZEALAND.

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Abstract

The possible mechanism To explain the dynamics of the transduction in sensory neurons is investigated. We consider a parallel array of noisy FitzHugh-Nagumo model neurons, subject to a common input signal. The information transmission of the signal through the array is studied as a function of the internal noise intensity. The threshold of each neuron is set suprathreshold with respect to the input signal. A form of stochastic resonance, termed suprathreshold stochastic resonance (SSR), which has recently been observed in a network of threshold devices [8] is also found to occur in the FHN array. It is demonstrated that significant information gain, over and above that attainable in a single FHN element, can be achieved via the SSR effect. These information gains are still achievable under the assumption that the thresholds are fully adjustable.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Series Name:	STUDIES IN FUZZINESS AND SOFT COMPUTING
Journal or Publication Title:	FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES
Publisher:	PHYSICA-VERLAG GMBH & CO
ISBN:	3-7908-1276-5
ISSN:	1434-9922
Editor:	Kasabov, N
Date:	2000
Volume:	45
Number of Pages:	12
Page Range:	pp. 236-247
Publication Status:	Published
Title of Event:	Workshop on Future Directions for Intelligent Systems and Information Sciences
Location of Event:	DUNEDIN, NEW ZEALAND
Date(s) of Event:	NOV 22-23, 1999
URI:	http://wrap.warwick.ac.uk/id/eprint/12701

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