Wilson Dan, Moehlis Jeff
Department of Mechanical Engineering, University of California, Santa Barbara, CA, 93106, USA,
J Comput Neurosci. 2014 Oct;37(2):243-57. doi: 10.1007/s10827-014-0499-3. Epub 2014 Jun 5.
We use optimal control theory to design a methodology to find locally optimal stimuli for desynchronization of a model of neurons with extracellular stimulation. This methodology yields stimuli which lead to positive Lyapunov exponents, and hence desynchronizes a neural population. We analyze this methodology in the presence of interneuron coupling to make predictions about the strength of stimulation required to overcome synchronizing effects of coupling. This methodology suggests a powerful alternative to pulsatile stimuli for deep brain stimulation as it uses less energy than pulsatile stimuli, and could eliminate the time consuming tuning process.
我们运用最优控制理论设计一种方法，以找到用于通过细胞外刺激使神经元模型去同步化的局部最优刺激。这种方法产生的刺激会导致正李雅普诺夫指数，从而使神经群体去同步化。我们在存在中间神经元耦合的情况下分析这种方法，以预测克服耦合同步效应所需的刺激强度。这种方法为深部脑刺激的脉冲刺激提供了一种强大的替代方案，因为它比脉冲刺激消耗的能量更少，并且可以消除耗时的调整过程。
