Abstract
A variant of the FitzHugh-Nagumo model is proposed. Computer simulation results show that the variant neuron model has the property that its threshold, refractory period and response amplitude can be dynamically adjusted. Some problems related to collective property, learning and implementation of the neural network based on the proposed neuron model are discussed. It is noted that the variant model has potential applications in pulse-stream neural networks.
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