Advanced Control Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; Department of Systems Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Advanced Control Systems Laboratory, Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Neural Netw. 2015 Mar;63:282-92. doi: 10.1016/j.neunet.2014.12.008. Epub 2014 Dec 29.
Some of neuropathologies are believed to be related to abnormal synchronization of neurons. In the line of therapy, designing effective deep brain stimulators to suppress the pathological synchrony among neuronal ensembles is a challenge of high clinical relevance. The stimulation should be able to disrupt the synchrony in the presence of latencies due to imperfect knowledge about parameters of a neuronal ensemble and stimulation impacts on the ensemble. We propose an adaptive desynchronizing deep brain stimulator capable of dealing with these uncertainties. We analyze the collective behavior of the stimulated neuronal ensemble and show that, using the designed stimulator, the resulting asynchronous state is stable. Simulation results reveal the efficiency of the proposed technique.
一些神经病理学被认为与神经元的异常同步有关。在治疗方面,设计有效的深部脑刺激器来抑制神经元集合体中的病理性同步是一个具有高度临床相关性的挑战。刺激应该能够在由于对神经元集合体的参数和刺激对集合体的影响了解不完美而存在潜伏期的情况下破坏同步性。我们提出了一种自适应去同步的深部脑刺激器,能够处理这些不确定性。我们分析了受刺激的神经元集合体的集体行为,并表明,使用设计的刺激器,产生的异步状态是稳定的。模拟结果显示了所提出技术的效率。