Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle

Yanqiu Che; Ruixue X. Li; Tingting T. Yang

doi:10.4028/www.scientific.net/AMM.427-429.1109

Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle

Yanqiu Che, Ruixue X. Li, Tingting T. Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.

Original language	English (US)
Title of host publication	Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry
Pages	1109-1112
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.427-429.1109
State	Published - 2013
Event	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 - Chongqing, China Duration: Sep 14 2013 → Sep 15 2013

Publication series

Name	Applied Mechanics and Materials
Volume	427-429
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Other

Other	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013
Country/Territory	China
City	Chongqing
Period	9/14/13 → 9/15/13

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.4028/www.scientific.net/AMM.427-429.1109

Cite this

@inproceedings{7bed8f5a6d9142c8a155339f1210113f,

title = "Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle",

abstract = "In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.",

author = "Yanqiu Che and Li, {Ruixue X.} and Yang, {Tingting T.}",

year = "2013",

doi = "10.4028/www.scientific.net/AMM.427-429.1109",

language = "English (US)",

isbn = "9783037858905",

series = "Applied Mechanics and Materials",

pages = "1109--1112",

booktitle = "Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry",

note = "2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 ; Conference date: 14-09-2013 Through 15-09-2013",

}

Che, Y, Li, RX & Yang, TT 2013, Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle. in Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. Applied Mechanics and Materials, vol. 427-429, pp. 1109-1112, 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013, Chongqing, China, 9/14/13. https://doi.org/10.4028/www.scientific.net/AMM.427-429.1109

Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle. / Che, Yanqiu; Li, Ruixue X.; Yang, Tingting T.
Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. 2013. p. 1109-1112 (Applied Mechanics and Materials; Vol. 427-429).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle

AU - Che, Yanqiu

AU - Li, Ruixue X.

AU - Yang, Tingting T.

PY - 2013

Y1 - 2013

N2 - In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.

AB - In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.

UR - http://www.scopus.com/inward/record.url?scp=84886443240&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84886443240&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/AMM.427-429.1109

DO - 10.4028/www.scientific.net/AMM.427-429.1109

M3 - Conference contribution

AN - SCOPUS:84886443240

SN - 9783037858905

T3 - Applied Mechanics and Materials

SP - 1109

EP - 1112

BT - Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry

T2 - 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013

Y2 - 14 September 2013 through 15 September 2013

ER -

Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this