A model of cortical neural network structure

Author

Togawa, Tatsuo ; Otsuka, Kimio

Author_Institution

Inst. for Med. & Dental Eng., Tokyo Med. & Dental Univ., Japan

Volume

4

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

2066

Abstract

A model of cortical neural structure consisting of threshold elements is proposed in which the single-cell-representation hypothesis is introduced. A random coding scheme was assumed so that a cell representing the content of cognition can be specified by the coded output. It was shown that this structure can be extended to the scale of the human cerebral cortex, and that the relationship between the number of neurons in the entire cortex and the number of synapses on each neuron can be explained consistently. To explain memory, the recruitment of unused element, called virgin cell, was assumed. This model provides a consistent explanation of the structure and function of the cortical neural network, and may also be applied to explain mental processes such as cognition and consciousness

Keywords

brain models; neural nets; neurophysiology; coded output; coding cells; cognition content; consciousness; cortical neural network structure; entire cortex; human cerebral cortex; memory; model; morphological considerations; number of neurons; number of synapses; optimal coding scheme; random coding scheme; recruitment of unused element; single-cell-representation hypothesis; threshold elements; virgin cell; Biomedical engineering; Brain modeling; Cerebral cortex; Cognition; Dentistry; Electronic mail; Humans; Neural networks; Neurons; Recruitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.747013

Filename

747013