Identification and monitoring of biological neural network

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

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Original languageEnglish
Article number4253221
Pages (from-to)2646-2649
Journal / PublicationProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2007


Title2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007)
PlaceUnited States
CityNew Orleans
Period27 - 30 May 2007


Active research in bio-inspired neurons has been observed in the last decade. In this paper, we are interested in identifying the topology of a biological neural network based on an adaptive observer design. It is proved that the topological structure of a network and the connectivities of its neurons can be acquired by observing the neurons' dynamics. That can also be used to monitor and report any changes of the topological structure. The effectiveness of this approach is successfully demonstrated with a network of coupled HindmarshRose neurons. © 2007 IEEE.