Pulse Stream VLSI Neural Networks

Authors:
Alan F. Murray;Stephen Churcher;Alister Hamilton;Andrew J. Holmes;Geoff B. Jackson;H. Martin Reekie;Robin J. Woodburn
Affiliations:
Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK;Univ. of Edinburgh, Edinburgh, Scotland, UK
Venue:
IEEE Micro
Year:
1994

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Abstract

EPSILON, a large, working, VLSI device, demonstrates pulse stream methods in the wider context of analog neural networks. EPSILON uses dynamic weight storage techniques, but a nonvolatile alternative is desirable. To that end, we have developed an amorphous silicon memory, which we present in experiments incorporating the device in a modest pulse stream neural chip. We have also developed a target-based training algorithm, which we demonstrate in a prototype learning device using a realistic problem. Finally, we explore system-level problems in experiments with a second version of EPSILON in a small, autonomous robot.