Analysis and Control of Epileptiform Spikes in a Class of Neural Mass Models | Zendy

Xian Liu | Zendy; Qing Gao | Zendy; Baiwang Ma | Zendy; Jiajia Du | Zendy; Wenju Ren | Zendy

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Analysis and Control of Epileptiform Spikes in a Class of Neural Mass Models

Author(s) -

Xian Liu,

Qing Gao,

Baiwang Ma,

Jiajia Du,

Wenju Ren

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/792507

Subject(s) - artificial neural network , noise (video) , class (philosophy) , computer science , control (management) , control theory (sociology) , state (computer science) , algebraic number , mathematics , artificial intelligence , algorithm , image (mathematics) , mathematical analysis

The problem of analyzing and controlling epileptiform spikes in a class ofneural mass models is concerned with. Since themeasured signals are always contaminated by measurement noise, an algebraicestimation method is utilized to observe the state from the noisy measurement. The feedback control is constructed via the estimated state. The feasibility of using such a strategy to control epileptiform spikes in a regular network of coupled neuralpopulations is demonstrated by simulations. In addition, theinfluence of the type of the controlled populations, the number ofthe controlled populations, and the control gain isinvestigated in details

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