75372

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Modeling Neuron-Like Agents with a Network Internal Structure

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-031-44865-2

DOI: 

10.1007/978-3-031-44865-2_32

Наименование конференции: 

  • International Conference on Neuroinformatics NEUROINFORMATICS 2023

Наименование источника: 

  • Studies in Computational Intelligence (Advances in Neural Computation, Machine Learning, and Cognitive Research VII. NEUROINFORMATICS 2023)

Обозначение и номер тома: 

Vol 1120

Город: 

  • Cham, Switzerland

Издательство: 

  • Springer Link

Год издания: 

2023

Страницы: 

300–307 https://link.springer.com/chapter/10.1007/978-3-031-44865-2_32
Аннотация
In the paper, we describe the model of heterogeneous agents with an internal structure and a set of parameters. These agents can generate an endogenous activity in definite time intervals. During the activation phase, the agent emits a spe-cific mediator with an assigned color into a common medium. In case agents cor-respond to the biological neurons, this medium is an extracellular space, and me-diators are neurotransmitters. Every agent has a set of colored receptors which are sensitive to a mediator of the same color. We consider three types of receptors and, correspondingly, three types of effects on agents. The first two types, activa-tion and inhibition, are direct. They speed up or slow down the oscillatory regime of an agent. The third type is modulatory. This type of receptors, being activated, starts the chain of changes in the internal parameters of an agent, which, in turn, causes a change in the weights of receptors of the two first types. We show that using this representation of agents, it is possible to force an agent to generate the activity with any given time interval.

Библиографическая ссылка: 

Жилякова Л.Ю. Modeling Neuron-Like Agents with a Network Internal Structure / Studies in Computational Intelligence (Advances in Neural Computation, Machine Learning, and Cognitive Research VII. NEUROINFORMATICS 2023). Cham, Switzerland: Springer Link, 2023. Vol 1120. С. 300–307 https://link.springer.com/chapter/10.1007/978-3-031-44865-2_32.