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

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.

People

Professor Leslie Smith

Emeritus Professor, Computing Science