Modelling of biological neurons by artificial neural networks

P. Tandeitnik; H. Guterman

Modelling of biological neurons by artificial neural networks

Department of Electrical & Computer Engineering

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	239-242
Number of pages	4
State	Published - 1 Dec 1996
Event	Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr Duration: 5 Nov 1996 → 6 Nov 1996

Conference

Conference	Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
City	Jerusalem, Isr
Period	5/11/96 → 6/11/96

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Modelling of biological neurons by artificial neural networks",

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.",

author = "P. Tandeitnik and H. Guterman",

year = "1996",

month = dec,

day = "1",

language = "English",

pages = "239--242",

note = "Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel ; Conference date: 05-11-1996 Through 06-11-1996",

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TY - CONF

T1 - Modelling of biological neurons by artificial neural networks

AU - Tandeitnik, P.

AU - Guterman, H.

PY - 1996/12/1

Y1 - 1996/12/1

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:0030405547

SP - 239

EP - 242

T2 - Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel

Y2 - 5 November 1996 through 6 November 1996

ER -

Modelling of biological neurons by artificial neural networks

Abstract

Conference

ASJC Scopus subject areas

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