Abstract

An incoherent optical neuron is proposed that subtracts inhibitory inputs from excitatory inputs optically by utilizing two separate device responses. Functionally it accommodates positive and negative weights, excitatory and inhibitory inputs, and nonnegative neuron outputs, and it can be used in a variety of neural network models. An extension is given to include bipolar neuron outputs in the case of fully connected networks.

© 1988 Optical Society of America

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