Modelling of biological neurons by artificial neural networks

A general approach for modeling biological neurons by means of ANNs is presented. This approach does not require any a-priori information about the system dynamics. A close-loop neural network architecture based on a multilayer feed forward network, is used as an alternative approach to standard system identification. The model can be employed to simulate the behavior of complex networks.

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