KFU. Card publication. The effect of the neural activity on topological properties of growing neural networks

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

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

Form of presentation

Articles in international journals and collections

Year of publication

2016

��

��

Authors, employees of KFU

Gafarova Vilyuza Robertovna, author

Bibliographic description in the original language

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

Annotation

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.

Keywords

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

The name of the journal

Journal of Integrative Neuroscience

URL

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=135950&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafarova Vilyuza Robertovna	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/eng/?p_id=135950&p_lang=2	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	Articles in international journals and collections	ru_RU