Identification and monitoring of biological neural network

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 Hindmarsh-Rose neurons.