Literature DB >> 3796808

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

S I Kovbasa, A D Nozdrachev, S V Yagodin.   

Abstract

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. The number of messages differing from each other either in the number of letters or their order in the word was equal to the number of permitted stochastic states, whereas the number of messages containing the same number of letters in the word was equal to the difference between the number of permitted stochastic states and the number of neurons in the system. The alphabet consists of two letters: A for assembling of the ring of stochastic dependence, and B for breaking of this ring, together with punctuation signs indicating neither assembling nor breaking (compared with the initial state) of stochastic dependence rings.

Mesh:

Year:  1986        PMID: 3796808     DOI: 10.1007/bf01148175

Source DB:  PubMed          Journal:  Neurosci Behav Physiol        ISSN: 0097-0549


  10 in total

1.  Nerve-impulse patterns: a quantitative display technique for three neurons.

Authors:  D H Perkel; G L Gerstein; M S Smith; W G Tatton
Journal:  Brain Res       Date:  1975-12-19       Impact factor: 3.252

2.  The repetitive discharges of corticothalamic reverberating circuit.

Authors: 
Journal:  J Neurophysiol       Date:  1950-05       Impact factor: 2.714

Review 3.  Linear analysis of the dynamics of neural masses.

Authors:  W J Freeman
Journal:  Annu Rev Biophys Bioeng       Date:  1972

4.  [Principles of the organization of the structure of the space-time code of short-term verbal memory].

Authors:  N P Bekhtereva; P V Bundzen; V D Kaĭdel; E E David
Journal:  Fiziol Zh SSSR Im I M Sechenova       Date:  1973-12

5.  Properties of small neural networks.

Authors:  R B Stein; K V Leung; M N Oğuztöreli; D W Williams
Journal:  Kybernetik       Date:  1974-04-26

6.  A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue.

Authors:  H R Wilson; J D Cowan
Journal:  Kybernetik       Date:  1973-09

7.  A random walk model for reverberatory pathways in reticular-like networks.

Authors:  R J MacGregor; C A Radcliffe
Journal:  Brain Res       Date:  1973-12-07       Impact factor: 3.252

8.  Simultaneous optical monitoring of activity of many neurons in invertebrate ganglia using a 124-element photodiode array.

Authors:  A Grinvald; L B Cohen; S Lesher; M B Boyle
Journal:  J Neurophysiol       Date:  1981-05       Impact factor: 2.714

9.  [Evaluation of the interdependence of spike currents in neuronal systems].

Authors:  S I Kovbasa
Journal:  Biofizika       Date:  1980 Nov-Dec

10.  [Quantitative evaluation of interference of action potentials].

Authors:  A D Nozdrachev; S I Kovbasa; S V Iagodin
Journal:  Fiziol Zh SSSR Im I M Sechenova       Date:  1982-10
  10 in total

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