ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

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Chernavskaya O. D., Chernavskii D. S., Karp V. P., Nikitin A. P. On the role of «pattern» and «symbol» concepts for simulation of the thinking process via neurocomputing. Izvestiya VUZ. Applied Nonlinear Dynamics, 2011, vol. 19, iss. 6, pp. 5-20. DOI: 10.18500/0869-6632-2011-19-6-5-20

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Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
004.81
DOI: 
10.18500/0869-6632-2011-19-6-5-20

On the role of «pattern» and «symbol» concepts for simulation of the thinking process via neurocomputing

Autors: 
Chernavskaya Olga Dmitrievna, P.N. Lebedev Physical Institute of the Russian Academy of Sciences
Chernavskii Dmitry Sergeevich, P.N. Lebedev Physical Institute of the Russian Academy of Sciences
Karp Viktorija Pavlovna, P.N. Lebedev Physical Institute of the Russian Academy of Sciences
Nikitin Aleksandr Pavlovich, P.N. Lebedev Physical Institute of the Russian Academy of Sciences
Abstract: 

The concepts of «pattern» and «symbol» and their functions are discussed in the context of «thinking» system of combined neuroprocessors. It is shown that the pattern subsystem does play a key role in recording and store of information. The symbol subsystem initiation provides the transition to conventional semantic information and communications with environment. The paradigm of attention within the scheme presented is secured by a parametric effect of symbol subsystem on the image one. It is shown that effect of neuron specification\\specialization is reproduced due to self-organization of the whole system. The system of dynamical nonlinear equations is proposed to combine the pattern and symbol subsystems and thus, to describe the «train of thought» within an individual thinking system. 

Key words: 
self-organization
thinking process
neurocomputing
dynamical theory of information
image
symbol
semantic information
specification
interaction
subsystem
attention
Reference: 
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Received: 
13.07.2011
Accepted: 
13.07.2011
Published: 
29.02.2012
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