Synchronization in the inhibitory coupled Hodgkin-Huxley neural networks
Andreev A.V., Maksimenko V.A.
Abstract
We investigate the dynamics of the complex network of Hodgkin-Huxley neurons. It consists of 3 sub-networks. The first small network receives an external signal which is transferred into a spike sequence. Then it is transmitted to two small-world networks interacting via an inhibitory coupling and working together to process the signal. We observe that the synchronization index (SI) in both networks periodically changes in time: the time intervals with the high SI alternate with the time intervals where SI is low. We calculate the correlation between them and find that when adjusting the strength of the inhibitory coupling one can observe SI in these networks changes either in phase or out of phase.
Speaker
Andrey Andreev
Innopolis University
Russia
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