Title :
Reflector network model
Author :
Stadnikov, Ie N.
Author_Institution :
Res. Inst. for Multiprocessor Comput. Syst., Taganrog, Russia
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;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268579
