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A charge-based on-chip adaptation Kohonen neural network

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2 Author(s)
Y. He ; Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA ; U. Cilingiroglu

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 12×10 synapses with a density of 190 synapses/mm2 was fabricated with 2-μm standard CMOS technology. The experimental results from the prototype chip demonstrated successful unsupervised learning and classification as theoretically predicted

Published in:

IEEE Transactions on Neural Networks  (Volume:4 ,  Issue: 3 )