Title :
Modelling and application of distributive model of human memory as distributed parameter system
Abstract :
Summary form only given. The human memory (instantaneous, short-term, long term) is functionally distributed in the brain cortex and subcortex, and in the periphery nerve system. The storage of information in human memory is distributed as every section of the retain (remember) neuron-glia environment contains elements of all mnemoengrams (traces). The latter represents a complex system of connections between neuro-glia columns in neurocortex, between the neurons in the subcortex sections and the sensory systems. The optimization of the characteristics of the distributive model of the human memory as a system with distributed parameters leads to determination of the controlling action in the selection of the engrams, in order to provide minimum functional losses. The described distributive model of the human memory can be used in systems of artificial intelligence (robots, computers and other bionics-technical systems).<>
Keywords :
biocybernetics; brain models; distributed parameter systems; neural nets; artificial intelligence; brain cortex; distributed parameter system; distributive model; human memory; mnemoengrams; neural nets; neurocortex; neuron-glia environment; periphery nerve system; Brain modeling; Cybernetics; Distributed parameter systems; Neural networks;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118409