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Towards a fully parallel stochastic Hopfield neural network

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2 Author(s)
Torralba, A. ; Dpto. de Ingenieria Electron., Seville Univ., Spain ; Colodro, F.

The authors present two digital circuits to implement a fully parallel stochastic Hopfield neural network (SHNN). In a parallel SHNN all the n × n stochastic signals sij that pulse with probability proportional to the synapse inputs are simultaneously available. The proposed circuits calculate the function Fi that accumulates the number of positive (negative) stochastic input pulses to neuron i

Published in:
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Date of Conference: 3-6 May 1993

Page(s):
2741 - 2743 vol.4
Meeting Date :
03 May 1993-06 May 1993
Print ISBN:
0-7803-1281-3
INSPEC Accession Number:
5021413
Conference Location :
Chicago, IL
Digital Object Identifier :
10.1109/ISCAS.1993.394334
Product Type:
Conference Publications

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