50128

Автор(ы): 

Автор(ов): 

5

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

New Approaches to Discrete Modeling of Natural Neural Networks

ISBN/ISSN: 

2194-5357

DOI: 

10.1007/978-3-030-01818-4_46

Наименование источника: 

  • Advances in Intelligent Systems and Computing

Обозначение и номер тома: 

Vol. 874. Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” V.1

Город: 

  • Cham, Switzerland

Издательство: 

  • Springer

Год издания: 

2019

Страницы: 

463-472
Аннотация
A discrete model of multitransmitter interactions between neurons in a common extracellular space (ECS) is proposed. Neurons in the model are heterogeneous in three different senses. They differ in (i) the type of endogenous change in the membrane potential, (ii) the type of secreted neurotransmitter, and (iii) the set of receptors, wherein each receptor is sensitive to a particular neurotransmitter. The model is characterized by the broadcast nature transmission of the signals: the neurotransmitter appeared in the ECS is treated as an input signal for all neurons with receptors sensitive to it. It is shown that the extrasynaptic interaction of neurons combined with multitransmitter environment enables to reproduce the rhythms generated by simple natural neural networks.

Библиографическая ссылка: 

Кузнецов О.П., Жилякова Л.Ю., Базенков Н.И., Болдышев Б.А., Куливец С.Г. New Approaches to Discrete Modeling of Natural Neural Networks // Advances in Intelligent Systems and Computing. 2019. Vol. 874. Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” V.1. С. 463-472.