50553

Автор(ы): 

Автор(ов): 

8

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Discrete Modeling of Neuronal Interactions in Multi-Transmitter Networks

ISBN/ISSN: 

0147-6882

DOI: 

10.3103/S0147688218050015

Наименование источника: 

  • Scientific and Technical Information Processing

Обозначение и номер тома: 

Vol. 45, No. 5

Город: 

  • New York

Издательство: 

  • Allerton Press, Inc.

Год издания: 

2018

Страницы: 

283–296
Аннотация
This paper presents a discrete model of non-synaptic interactions between neurons, which are performed by special chemical agents, neurotransmitters. In this model, all signals are broadcast: each neuron’s activity can be perceived by all other neurons that are sensitive to its neurotransmitter. The purpose of leaving synapses out is to demonstrate the importance of heterochemical1 interactions in the nervous system. Transmitter- specific neurons are described as finite automatons, which are a generalization of the traditional formal neuron. In a network consisting of such neurons, all connections are functional and not structural. This feature makes it possible to explain rapid reconfigurations of activity patterns in the generation of different rhythms by neuron ensembles, which are observed in living systems. We discuss and justify the choice of a discrete mathematical framework for simulation of heterochemical interactions.

Библиографическая ссылка: 

Базенков Н.И., Воронцов Д.Д., Дьяконова В.Е., Жилякова Л.Ю., Захаров И.С., Кузнецов О.П., Куливец С.Г., Сахаров Д.А. Discrete Modeling of Neuronal Interactions in Multi-Transmitter Networks // Scientific and Technical Information Processing. 2018. Vol. 45, No. 5. С. 283–296.

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