Abstract

We report on a GaAs/AlGaAs optical neurochip based on a three-layered feed-forward model. The optical neurochip consists of a light-emitting diode array with 66 elements, a fixed interconnection matrix, and a photo-diode array with 110 elements. The interconnection matrix is determined by the backpropagation learning rule with three quantized levels. There are 35, 29, and 26 neurons, respectively, in the input, hidden, and output layers. The excitatory and inhibitory synapses are integrated on one chip. By using the chip and external electronics, we have succeeded in the recognition of 10 characters with 5×7 bits.

© 1990 Optical Society of America

Dynamic optical neurochip using variable-sensitivity photodiodes

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