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

Mtetwa, N.; Smith, L.S.; Hussain, A.

Authors

N. Mtetwa

L.S. Smith



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.

Presentation Conference Type Conference Paper (Published)
Conference Name ICANN: International Conference on Artificial Neural Networks
Start Date Aug 28, 2002
End Date Aug 30, 2002
Online Publication Date Aug 21, 2002
Publication Date 2002
Deposit Date Oct 16, 2019
Publisher Springer
Pages 117-122
Series Title Lecture Notes in Computer Science
Series Number 2415
Series ISSN 0302-9743
Book Title Artificial Neural Networks — ICANN 2002
ISBN 978-3-540-44074-1
DOI https://doi.org/10.1007/3-540-46084-5_20
Public URL http://researchrepository.napier.ac.uk/Output/1793763