Dependence of inter-neuronal effective connectivity on synchrony dynamics in neuronal network motifs

摘要: Abstract Effective connectivity, characterized as directional causal influences among neural units, is functionally significant to be reconstructed. Various dynamic regimes have been considered underlie reshaping of the effective connections. In this work, impact zero-lag synchronization on reconstruction connectivity in neuronal network motifs investigated. The analysis and estimation by using Granger causality (GC) method are performed. It shown that neurons at zero lag contributes reciprocal connections without synaptic addition, delay-induced synchronous transition facilitates transformation interactions. With increase coupling strength, interplay undergoes statistically a critical value. Furthermore, it can found multiple extracted from different states underlying structural motifs. GC measures proved reliable compared with Information Flow for analysis. obtained results may helpful future research about information processes.