Identification and monitoring of biological neural network

被引：29
|
作者：
Tang, Wallace K. S. [1 ]
Yu, Mao [1 ]
Kocarev, Ljupco [2 ]
机构：
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Univ Calif San Diego, Inst Nonlinear Sci, San Diego, CA USA
来源：
2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 | 2007年
关键词：
D O I：
10.1109/ISCAS.2007.377957
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2646 / +
页数：2
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