VLSI implementation of ART1 memories
S.W. Tsay, R.W. Newcomb · IEEE Transactions on Neural Networks · 1991
A hardware implementation of long-term memory and short-term memory for binary input adaptive resonance theory (ART1) neural networks is presented. This implementation is based on chemical-electrical interactions in real neurons which are known to control axon release of chemical materials which in turn modulate the conductances of synapses. An axon-synapse-tree structure is introduced to achieve bottom-up long-term memory. The tree is realized by voltage modulation of synapse conductances. VLSI circuits are developed to realize the different functions of ART memories.