Magazine Article

Analog VLSI Circuits for Hebbian Learning in Neural Networks

TBMG-7390

08/01/2001

Abstract
Content

An analog very-large-scale integrated (VLSI) circuit was designed and built to implement Hebbian synapses with an improved method of modifying and storing the synaptic weights, for use in neural-network circuits. (In Hebbian synapses, the synaptic weights are modified through Hebbian learning, which is a local unsupervised adjustment of the weight depending on the correlation of activity between pre- and post-synaptic neurons.) These circuits are intended, more specifically, for use with neural networks of the type that operate with spiking (as distinguished from steady) input and output signals.

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Citation
"Analog VLSI Circuits for Hebbian Learning in Neural Networks," Mobility Engineering, August 1, 2001.
Additional Details
Publisher
Published
Aug 1, 2001
Product Code
TBMG-7390
Content Type
Magazine Article
Language
English