DocumentCode
1578643
Title
Reflector network model
Author
Stadnikov, Ie N.
Author_Institution
Res. Inst. for Multiprocessor Comput. Syst., Taganrog, Russia
fYear
1992
Firstpage
552
Abstract
A clonal hypothesis for the nervous system is presented. In order to take into account learning in the model, a reflector or reflexive principle is built into the clone model. The reflector network is shown to transform the space-time pattern of the signals of the working organ control. Through the clone reflector network one can easily explain the universality of the stimuli of different modality as well as the structural-functional plasticity and reliability of the brain
Keywords
brain models; learning (artificial intelligence); neural nets; neurophysiology; physiological models; brain; clonal hypothesis; learning; nervous system; reflector network; reliability; space-time pattern; stimulus universality; structural-functional plasticity; Bean model; Biological neural networks; Brain modeling; Cloning; Humans; Mice; Nervous system; Neurons; Optical films; Organisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268579
Filename
268579
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