Using Analogue Vlsi Leaky Integrate-and-Fire Neurons in a Sound Analysis System.

Authors:
Mark Glover;Alister Hamilton;Leslie S. Smith
Affiliations:
-;-;-
Venue:
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Year:
1999

Citing 5
Cited 0

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A Novelty Detector Using a Network of Integrate and Fire Neurons

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Simulation of Spiking Neural Networks on Different Hardware Platforms

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Lower bounds for the computational power of networks of spiking neurons

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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. 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.