Modeling of alive neural network memory as Glushkov developing system of neuron interaction by differential equation with delay

Author

Pisarenko, Valery G. ; Koval, Alexandr S.

Author_Institution

V.M. Glushkov Inst. of Cybern. NASU, Kiev, Ukraine

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

103

Lastpage

106

Abstract

In this paper is an attempt to model biophysical processes of sensory information memorizing by extra large ensemble of live brain neurons. Also reviewed the possibility of modeling of extract such information from the memory. Studies are based on using the accumulated experimental data in the literature about the brain neurophysiology and mathematical methods of developing systems theory formulated by Glushkov.

Keywords

differential equations; neural nets; neurophysiology; system theory; Glushkov developing system; alive neural network memory modeling; biophysical processes modeling; brain neurophysiology; delay; differential equation; extract modeling; live brain neurons; mathematical methods; neuron interaction; sensory information memorizing; systems theory; Biological neural networks; Brain models; Delays; Mathematical model; Neurons; Numerical models; biophysical processes; live neural network; mathematical model; memorizing; sensory information;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662649

Filename

6662649