DocumentCode :
1266427
Title :
Pulse-stream VLSI neural networks mixing analog and digital techniques
Author :
Murray, Alan F. ; Corso, Dante Del ; Tarassenko, Lionel
Author_Institution :
Dept. of Electr. Eng., Edinburgh Univ., UK
Volume :
2
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
193
Lastpage :
204
Abstract :
The pulse-stream technique, which represents neural states as sequences of pulses, is reviewed. Several general issues are raised, and generic methods appraised, for pulsed encoding, arithmetic, and intercommunication schemes. Two contrasting synapse designs are presented and compared. The first is based on a fully analog computational form in which the only digital component is the signaling mechanism itself-asynchronous, pulse-rate encoded digital voltage pulses. In this circuit, multiplication occurs in the voltage/current domain. The second design uses more conventional digital memory for weight storage, with synapse circuits based on pulse stretching. Integrated circuits implementing up to 15000 analog, fully programmable synaptic connections are described. A demonstrator project is described in which a small robot localization network is implemented using asynchronous, analog, pulse-stream devices
Keywords :
VLSI; computerised signal processing; encoding; hybrid computers; neural nets; VLSI; analog computational form; digital memory; neural networks; programmable synaptic connections; pulse stretching; pulse-stream technique; pulsed encoding; robot localization network; signaling mechanism; synapse circuits; voltage/current domain; Analog computers; Analog integrated circuits; Appraisal; Arithmetic; Encoding; Neural networks; Pulse circuits; Robot localization; Very large scale integration; Voltage;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.80329
Filename :
80329
Link To Document :
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