DocumentCode :
1084869
Title :
Pulse stream VLSI neural networks
Author :
Murray, A.F. ; Hamilton, Andrew ; Homes, A.J. ; Jackson, G.B. ; Reekie, H.M. ; Woodburn, R.J.
Author_Institution :
Edinburgh Univ., UK
Volume :
14
Issue :
3
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
29
Lastpage :
39
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.<>
Keywords :
VLSI; neural chips; neural nets; EPSILON; amorphous silicon memory; analog neural networks; autonomous robot; dynamic weight storage techniques; neural chip; pulse stream VLSI neural networks; system-level problems; training algorithm; Circuits; Frequency modulation; Neural networks; Neurons; Pulse modulation; Pulsed power supplies; Space vector pulse width modulation; Very large scale integration; Voltage; Voltage-controlled oscillators;
fLanguage :
English
Journal_Title :
Micro, IEEE
Publisher :
ieee
ISSN :
0272-1732
Type :
jour
DOI :
10.1109/40.285222
Filename :
285222
Link To Document :
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