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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