Neural network integrated circuit device having self-organizing function

Abstract

An extension directed integrated circuit device having a learning function on a Boltzmann model, includes a plurality of synapse representing units arrayed in a matrix, a plurality of neuron representing units, a plurality of educator signal control circuits, and a plurality of buffer circuits. Each synapse representing unit is connected to a pair of axon signal transfer lines and a pair of dendrite signal transfer lines. Each synapse representing unit includes a learning control circuit which derives synapse load change value data in accordance with predetermined learning rules in response to a first axon signal Si and a second axon signal Sj, a synapse load representing circuit which corrects a synapse load in response to the synapse load change valued data and holds the corrected synapse load value Wij, a first synapse coupling operating circuit which derives a current signal indicating a product Wij.multidot.Si from the synapse load Wij and the first axon signal Si and transfers the same to a first dendrite signal line, and a second product signal indicating a product Wij.multidot.Sj from the synapse load Wij and the second axon signal Sj and transfers the same onto a second dendrite signal line.