A simple neuron circuit which has a chaotic firing property similar to that of a neuron is proposed. The design of the circuit is based on a mathematical neuron model which we previously discussed. The model was developed by modifying the McCulloch-Pitts and Nagumo-Sato models. In the modifications, nonlinear functions of sigmoidal and notchlike shapes, which are made up of exponential functions, were introduced. The shapes of these functions are crucial for the model to have the neuronal chaotic firing property. In the present study, the functions are formed by nonlinear function generators with nonlinear properties of the diode and transistor. Since the circuit is simple, its design may enable the integration of a large number of neuron circuits on an IC. The use of the circuit will have the advantages of high-speed and parallel processing which are not provided when using a mathematical model which requires the use of a computer.
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