Identification of Group of FitzHugh-Nagumo Neuron Models Based on the Speed-Gradient and Filtering
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA)(2023)
摘要
The paper is devoted to the identification problem of the group of neurons model composed from the FitzHugh-Nagumo single neuron models. The model of N uncoupled neurons and the model of the neural network with the simplest connections are considered. The problem is solved under the realistic condition: only one variable of the FitzHugh-Nagumo model, namely the membrane potential, is measured; however, we assume that this variable’s measurement is imprecise.
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关键词
control theory,identification,FitzHugh-Nagumo model,neural network
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