Transient responses in dynamical neural models

Author

Stiber, Michael ; Segundo, J.P.

Author_Institution

Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Hong Kong

fYear

1994

fDate

13-16 Apr 1994

Firstpage

229

Abstract

The authors consider the input/output behavior of a realistic dynamical neural model in comparison to those typically used in artificial neural networks. They have found that such models duplicate well those behaviors seen in living neurons, displaying a range of behaviors commonly seen in a wide variety of nonlinear dynamical systems. This is not captured well by weighted sum/monotonic transfer function models. An example of the consequences of nonlinear dynamics in neural responses is presented for monotonically changing input transients

Keywords

neural nets; neurophysiology; nonlinear dynamical systems; physiological models; transient response; artificial neural networks; dynamical neural models; input transients; input/output behavior; living neurons; neural responses; nonlinear dynamical systems; nonlinear dynamics; transient responses; weighted sum/monotonic transfer function models; Biological neural networks; Biological system modeling; Computer networks; Feedforward neural networks; Nervous system; Neural networks; Neurons; Nonlinear dynamical systems; Switches; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344925

Filename

344925