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
Original Manuscript: January 4, 1988
Manuscript Accepted: July 1, 1988
Published: October 1, 1988
B. K. Jenkins and C. H. Wang, "Model for an incoherent optical neuron that subtracts," Opt. Lett. 13, 892-894 (1988)