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Book Chapter

Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons

Details

Citation

Mtetwa N, Smith L & Hussain A (2002) Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. In: Dorronsoro J (ed.) Artificial Neural Networks — ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 Proceedings. Lecture Notes in Computer Science, 2415. Berlin Heidelberg: Springer, pp. 117-122. http://link.springer.com/chapter/10.1007/3-540-46084-5_20#; https://doi.org/10.1007/3-540-46084-5_20

Abstract
This paper discusses the effect of stochastic resonance in a network of leaky integrate-and-fire (LIF) neurons and investigates its realisation on a Field Programmable Gate Array (FPGA). We report in this study that stochastic resonance which is mainly associated with floating point implementations is possible in both a single LIF neuron and a network of LIF neurons implemented on lower resolution integer based digital hardware. We also report that such a network can improve the signal-to-noise ratio (SNR) of the output over a single LIF neuron.

StatusPublished
Title of seriesLecture Notes in Computer Science
Number in series2415
Publication date31/12/2002
PublisherSpringer
Publisher URL
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-540-44074-1

People (1)

Professor Leslie Smith

Professor Leslie Smith

Emeritus Professor, Computing Science