КФУ. Карточка публикации. The effect of the neural activity on topological properties of growing neural networks

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THE EFFECT OF THE NEURAL ACTIVITY ON TOPOLOGICAL PROPERTIES OF GROWING NEURAL NETWORKS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2016

Язык

английский

Авторы, сотрудники КФУ

Гафарова Вилюза Робертовна, автор

Библиографическое описание на языке оригинала

F. M. Gafarov and V. R. Gafarova, The effect of the neural activity on topological properties of growing neural networks, ,Journal of Integrative Neuroscience. 15 (3), 1-15 DOI: http://dx.doi.org/10.1142/S0219635216500187

Аннотация

The connectivity structure in cortical networks defines how information is transmitted and processed, and it is a source of the complex spatiotemporal patterns of network?s development, and the process of creation and deletion of connections is continuous in the whole life of the organism. In this paper, we study how neural activity influences to the growth process in neural networks. By using a two-dimensional activity-dependent growth model we demonstrated the neural network growth process from disconnected neurons to fully connected networks. For making quantitative investigation of the network?s activity influence on its topological properties we compared it with the random growth network not depending on network?s activity. By using the random graphs theory methods for the analysis of the network?s connections structure it is shown that the growth in neural networks results in the formation of a well-known ?small-world? network.

Ключевые слова

Small-world network, average shortest path lengths, node degree distribution, axon guidance, average clustering coefficient

Название журнала

Journal of Integrative Neuroscience

URL

http://www.worldscientific.com/doi/abs/10.1142/S0219635216500187

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https://repository.kpfu.ru/?p_id=135950

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Гафарова Вилюза Робертовна	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	F. M. Gafarov and V. R. Gafarova, The effect of the neural activity on topological properties of growing neural networks, ,Journal of Integrative Neuroscience. 15 (3), 1-15 DOI: http://dx.doi.org/10.1142/S0219635216500187	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=135950	ru_RU
dc.description.abstract	Journal of Integrative Neuroscience	ru_RU
dc.description.abstract	The connectivity structure in cortical networks defines how information is transmitted and processed, and it is a source of the complex spatiotemporal patterns of network?s development, and the process of creation and deletion of connections is continuous in the whole life of the organism. In this paper, we study how neural activity influences to the growth process in neural networks. By using a two-dimensional activity-dependent growth model we demonstrated the neural network growth process from disconnected neurons to fully connected networks. For making quantitative investigation of the network?s activity influence on its topological properties we compared it with the random growth network not depending on network?s activity. By using the random graphs theory methods for the analysis of the network?s connections structure it is shown that the growth in neural networks results in the formation of a well-known ?small-world? network.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Small-world network	ru_RU
dc.subject	average shortest path lengths	ru_RU
dc.subject	node degree distribution	ru_RU
dc.subject	axon guidance	ru_RU
dc.subject	average clustering coefficient	ru_RU
dc.title	The effect of the neural activity on topological properties of growing neural networks	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU