Study of the role of rhythmic activity in fixation and reproduction of information on the model of neuronlike elements network

Author

Shulgina, G.I.

Author_Institution

Inst. of Higher Nervous Activity & Neurophysiol., Acad. of Sci., Moscow, Russia

fYear

1992

Firstpage

1098

Abstract

Studies the interaction of tonic impulsation, carrying information on the structure of external images (letter symbols) and rhythmic forms of activity, fixing this information, on the model of a network of neurosimilar elements. A mathematical model of a neural network, realizd by the Nord-100 computer in program form, was based on neurophysiological data characterizing the properties of the exciting neurons, and their contacts and conditions of their interaction at learning. The model was used to solve a system of equations at every clock cycle, describing the state dynamics of each element and all contacts between them. Learning in the network was realized by Hebb´s rule

Keywords

Hebbian learning; biocybernetics; image recognition; neural nets; neurophysiology; physiological models; vision; Hebb´s rule; Nord-100 computer; exciting neurons; external images; fixation; learning; letter symbols; neural network; neurophysiological data; neurosimilar elements; rhythmic activity; state dynamics; tonic impulsation; Biomedical optical imaging; Cybernetics; Hippocampus; Holographic optical components; Holography; Image motion analysis; Intelligent networks; Neurons; Neurophysiology; Optical recording;

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.1992.268519

Filename

268519