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

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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. © Springer-Verlag Berlin Heidelberg 2002.

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Mtetwa, N., Smith, L. S., & Hussain, A. (2002). Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 117–122). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_20

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