Jin Ohta

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An optical associative neural network with a stochastic thresholding procedure has been demonstrated. The use of stochastic processing drastically improved the convergence rate into the correct global minima (recognition rate). The properties of undesirable spurious minima were also investigated. It was found that the spurious minima were represented as the(More)
Summary form only given, as follows. An optoelectronic associative neural network using a time-division-multiplexing (TDM) technique was demonstrated. In the 32-neuron system, the eight state vectors could be stored with the division number 2. The experimental results verified the potential advantages and widespread applications of the TDM techniques.<<ETX>>
A GaAs/AlGaAs optical synaptic interconnection device for neural networks is reported. It consists of a light-emitting-diode array, an interconnection matrix, and a photodiode array, which are integrated in a hybrid-layered structure on a GaAs substrate. The device structure and characteristics are reported. The fabricated device can simulate a 32-neuron(More)
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