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