An event-based VLSI network of integrate-and-fire neurons

Titelaufnahme

Titel
An event-based VLSI network of integrate-and-fire neurons
Verfasser
Chicca, Elisabetta ; Indiveri, G. ; Douglas, R. J.
Erschienen
2004
Sprache
Englisch
Dokumenttyp
Konferenzband
Schlagwörter
distributed parameter networks / pulse shaping circuits / asynchronous circuits / VLSI / mixed analogue-digital integrated circuits / neural nets / network topology
ISBN
078038251X
URN
urn:nbn:de:0070-pub-24276906
DOI
10.1109/ISCAS.2004.1329536

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Abstract

The growing interest in pulse-based neural networks is encouraging the development of hardware implementations of massively parallel, distributed networks of integrate-and-fire (I&F) neurons. We have developed a mixed-mode (analog/digital) VLSI device that comprises a reconfigurable network of I&F neurons and adaptive synapses. The synapses receive input spikes and the neurons transmit output spikes (events) using an asynchronous address-event representation (AER). We describe the network architecture, present experimental data demonstrating the characteristics of the single elements on the chip, and show that a competitive network configuration has winner-take-all (WTA) behaviour and produces spike synchronization.

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