Effect of Inter-Modular Connection on Fast Sparse Synchronization in Clustered Small-World Neural Networks
Sang-Yoon Kim, Woochang Lim

TL;DR
This study investigates how inter-modular connections influence the emergence of fast sparse synchronization in clustered small-world inhibitory neural networks, revealing conditions for modular and global synchronization and their underlying mechanisms.
Contribution
It introduces a realistic modularity measure and characterizes the effects of inter-modular coupling strength and links on synchronization states in clustered neural networks.
Findings
Large inter-modular coupling inhibits synchronization due to strong inhibition.
Small inter-modular coupling promotes synchronization by facilitating spike pacing.
Increasing inter-modular links enhances the effectiveness of global communication and spike pacing.
Abstract
We consider a clustered network with small-world sub-networks of inhibitory fast spiking interneurons, and investigate the effect of inter-modular connection on emergence of fast sparsely synchronized rhythms by varying both the inter-modular coupling strength and the average number of inter-modular links per interneuron . In contrast to the case of non-clustered networks, two kinds of sparsely synchronized states such as modular and global synchronization are found. For the case of modular sparse synchronization, the population behavior reveals the modular structure, because the intra-modular dynamics of sub-networks make some mismatching. On the other hand, in the case of global sparse synchronization, the population behavior is globally identical, independently of the cluster structure, because the intra-modular dynamics of sub-networks make perfect…
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