[Quantitative evaluation of the cytoarchitectonic reorganization of the locus coeruleus in the brain stem under the influence of 6-hydroxydopamine].

It has been demonstrated the reorganization of structure of locus coeruleus in the animals treated intracisternally with 300 micrograms of 6-hydroxydopamine (6-OHDA) which selectively causes the lesion in catecholaminergic system using the method of quantitative estimation of the degree of uniformity and isotropy of structures. After administration of specific neurotoxin in early stages chromatolytic changes were observed in neurons which were not yet destructive but contractive for long. After injection of 6-OHDA in 36 days in the cytoarchitectonic structure were observed marked changes in uniformity and isotropy of neuron distribution within some groups in locus coeruleus versus controls.

Principles of signal coding by the discharge pattern of a neuron population.

The principles of information coding by "rings" of stochastic dependence, formed by neuron populations, are described. Such a population was shown to be capable of existing only in strictly definite stochastic states, determined by a certain number of "rings" of stochastic dependence. A system consisting of a fixed number of neurons was shown to be able to code and transmit a number of different messages equal to the square of the number of stochastic states permitted for that system.

A quantitative method for the estimation of the degree of uniformity and isotropy of the structures of the central nervous system in cytoarchitectonic preparations.

The statistical method for the estimation of the degree of uniformity and isotropy of structures in brain sections proposed in this paper allows integral estimates to be made of the character of the distribution of nerve cells during the formation of the central nervous system. The method is convenient to work with in photomicrographs. Automatic computerized counting of cell elements takes little time and involves a minimum of images.

[Principles of signal coding by the discharge pattern of neural networks].

Neuronal populations are shown to form rings of stochastic dependence for optimal coding of information. Such a population can only exist in strictly defined stochastic states determined by the number of the stochastic dependence rings. A system consisting of a certain number of neurons, was shown to be able to code and transfer a number of messages equal to square of the number of stochastic states permitted for the given system.