DocumentCode :
2203715
Title :
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
Link To Document :
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