Analogue VLSI Leaky Integrate-and-Fire Neurons and Their Use in a Sound Analysis System

Authors:
Mark Glover;Alister Hamilton;Leslie S. Smith
Affiliations:
Department of Electronics and Electrical Engineering, University of Edinburgh, Edinburgh EH9 3JL, Scotland, UK;Department of Electronics and Electrical Engineering, University of Edinburgh, Edinburgh EH9 3JL, Scotland, UK;Department of Computing Science and Maths, University of Stirling, Stirling FK9 4LA, Scotland, UK
Venue:
Analog Integrated Circuits and Signal Processing
Year:
2002

Citing 5
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Abstract

Integrate-and-fire neurons are simple model neurons which can handle continuously time-varying signals. We have applied them to problems in real-time analysis of sounds. Two different chips have been built: the first had a fixed network architecture with all synaptic weights identical, and the second is reconfigurable with individually programmable weights. We present results characterising the latter chip, and results from processing real data from the earlier chip. We note that the second chip provides a more general integrate-and-fire neuron implementation.