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Biomedical subjects

A N Chetaev

Publications and source records attributed to A N Chetaev.

18 recordsLinked to original sources
PubMed1976

[Nets of excitable elements. IX. Hebb nets].

It is shown that the mechanism of bond creation suggested by Hebb, acting in a neuron net without exterior effects arranges there a structure of a ring type. The activity of such a system has periodic component. Its period is close to the duration of trace processes in neuron nets. A hypothesis is suggested about a real object where this phenomenon may be observed.

Mathematics↗
PubMedDate not supplied

[Model representation of rat motor behavior during electrical self-stimulation of the brain. I. Brief review of experimental data. Formal model].

The stimulation of the brain in self-stimulation situation activated the motor behaviour. The activity of the motor behaviour versus duration of the movements which define the motor activity is a decreasing function. The effect of stimulation versus duration or the strength of stimulation is an increasing function. The solutions of equation having made after comparing these two functions demonstrate the relations between the motor behaviour and stimulation parameters.

Animals↗
PubMedDate not supplied

[Model representation of rat motor behavior during electric self stimulation of the brain. II. Concretization of function shape. Comparison with experiment].

In this chapter the function of activity of the motor behavior in selfstimulation situation and function of the stimulation of the brain are determined. Solutions of the equation give the relation between the motor behavior and parameters of stimulation. The solutions agree with many experimental data in selfstimulation situation in the Skinner's box.

Animals↗
PubMedDate not supplied

[Work of large information systems].

The problem of application of informational ideas to the study of large informational systems, such as brain, is considered. Analysis follows some ideas of Winograd and Kowan's theory of reliable computations in the presence of noise. In the beginning of paper the "material analogy" for intuitive understanding of Shannon's results is proposed. Afterwards there is given the formulation of coding theorem for the case of "informational collective"--a large group of informational sources and receivers. In conclusion it is shown that such properties of neuronal structures as "stochastic" neural connections are reasonable from the point of information theory.

Information Theory↗