Synchronization in Electrically Coupled Neural Networks

dc.creatorKavasseri, Rajesh G
dc.creatorNagarajan, Radhakrishnan
dc.date2006-03-29
dc.date.accessioned2026-07-07T07:07:55Z
dc.date.available2026-07-07T07:07:55Z
dc.descriptionIn this report, we investigate the synchronization of temporal activity in an electrically coupled neural network model. The electrical coupling is established by homotypic static gap-junctions (Connexin 43). Two distinct network topologies, namely: {\em sparse random network, (SRN)} and {\em fully connected network, (FCN)} are used to establish the connectivity. The strength of connectivity in the FCN is governed by the {\em mean gap junctional conductance} ($μ$). In the case of the SRN, the overall strength of connectivity is governed by the {\em density of connections} ($δ$) and the connection strength between two neurons ($S_0$). The synchronization of the network with increasing gap junctional strength and varying population sizes is investigated. It was observed that the network {\em abruptly} makes a transition from a weakly synchronized to a well synchronized regime when ($δ$) or ($μ$) exceeds a critical value. It was also observed that the ($δ$, $μ$) values used to achieve synchronization decreases with increasing network size.
dc.identifierhttps://arxiv.org/abs/q-bio/0603035
dc.identifierhttp://arxiv.org/abs/q-bio/0603035
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/110567
dc.subjectNeurons and Cognition
dc.titleSynchronization in Electrically Coupled Neural Networks
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