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BISPIN-based optoelectronic neuron element

The study and simulation of the collective behavior of neural network and the individual behavior of the single neurons in the network may effectively be conducted using the realistic model of the biological neuron. Such a model should have as many properties of the real neuron as possible, and its hardware implementation should be simple enough so it is possible to implement large neural networks on the small integrated circuit crystal. We propose a BISPIN-based optoelectronic neuron element with frequency outputs, that resembles a behavior of the biological neuron, having such properties: valley activity, spatial summation, time summation, strength-duration rule, phase of absolute and relative refractivity, transformation of the rhythm, dependence between frequency and amplitude of rhythmic excitation, accommodation. BISPIN integrates input signals, it has an adjustable threshold, which can be controlled either optically or electronically, and is a generator of frequency- encoded impulses with constant amplitude.