Dynamical intelligent network based on group representation theory

Author

Fujisaka, Hasato ; Akita, Maki ; Morisue, M.

Author_Institution

Fac. of Inf. Sci., Hiroshima City Univ., Japan

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

79

Abstract

This paper presents a method and an example of constructing dynamical intelligent networks with a symmetric coupling structure. The presented network is inspired by a hypothesis on the activity of the neurons connected by a hexagonal lattice structure in the cerebral cortex. In the network information is represented by spatiotemporal patterns in terms of the network activity. The formation of the spatio-temporal pattern, the association of the spatial pattern with the temporal behavior is based on group representation theory. A model of attention is constructed based on the networks and its computer simulation is shown

Keywords

analogue processing circuits; group theory; neural nets; phase locked loops; PLL; cerebral cortex; dynamical intelligent networks; group representation theory; hexagonal lattice structure; network activity; spatio-temporal patterns; symmetric coupling structure; Artificial neural networks; Biological system modeling; Brain modeling; Cerebral cortex; Computer simulation; Intelligent networks; Lattices; Neurons; Oscillators; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on

Print_ISBN

0-7803-7057-0

Type

conf

DOI

10.1109/ICECS.2001.957676

Filename

957676