Identification and monitoring of biological neural network
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 22_Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 4253221 |
| Pages (from-to) | 2646-2649 |
| Journal / Publication | Proceedings - IEEE International Symposium on Circuits and Systems |
| Publication status | Published - 2007 |
Conference
| Title | 2007 IEEE International Symposium on Circuits and Systems (ISCAS 2007) |
|---|---|
| Place | United States |
| City | New Orleans |
| Period | 27 - 30 May 2007 |
Link(s)
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 HindmarshRose neurons. © 2007 IEEE.
Citation Format(s)
Identification and monitoring of biological neural network. / Tang, Wallace K.S.; Yu, Mao; Kocarev, Ljupco.
In: Proceedings - IEEE International Symposium on Circuits and Systems, 2007, p. 2646-2649.
In: Proceedings - IEEE International Symposium on Circuits and Systems, 2007, p. 2646-2649.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 22_Publication in policy or professional journal
