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

[摘要] 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.

[学科分类] 应用数学