Title :
Identification and monitoring of biological neural network
Author :
Tang, Wallace K S ; Yu, Mao ; Kocarev, Ljupco
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong
Abstract :
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.
Keywords :
biology; neural nets; Hindmarsh-Rose neurons; adaptive observer design; biological neural network; network topological structure; neurons´ dynamics; Biological neural networks; Biological system modeling; Biomembranes; Complex networks; Evolution (biology); Monitoring; Network topology; Neurons; Observers; Parameter estimation;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.377957
