Title :
A model of cortical neural network structure
Author :
Togawa, Tatsuo ; Otsuka, Kimio
Author_Institution :
Inst. for Med. & Dental Eng., Tokyo Med. & Dental Univ., Japan
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747013
