Modelling of biological neurons by artificial neural networks

P. Tandeitnik, H. Guterman

Research output: Contribution to conferencePaperpeer-review

Abstract

A general approach for modeling biological neurons by means of artificial neural networks is presented. This approach does not require any a-priori information about the system dynamics. A close-loop neural network architecture based on 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.

Original languageEnglish
Pages239-242
Number of pages4
StatePublished - 1 Dec 1996
EventProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr
Duration: 5 Nov 19966 Nov 1996

Conference

ConferenceProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
CityJerusalem, Isr
Period5/11/966/11/96

ASJC Scopus subject areas

  • Engineering (all)

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