A charge-based on-chip adaptation Kohonen neural network

Abstract

A charge-based on-chip synapse adaptation Kohonen neural network circuit is proposed. The properties of the approach are low power dissipation and high density due to the charge transfer mechanism and the novel compact device configurations. The prototype chip which contains 12x10 synapses with a density of 190 synapses/mm(2 ) was fabricated with 2-mum standard CMOS technology. The experimental results from the prototype chip demonstrated successful unsupervised learning and classification as theoretically predicted.