神经元霍奇金-赫胥黎动力学的追踪与控制
Tracking and control of neuronal Hodgkin-Huxley dynamics.
作者信息
Ullah Ghanim, Schiff Steven J
机构信息
Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, 212 Earth-Engineering Sciences Building, University Park, Pennsylvania 16802, USA.
出版信息
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Apr;79(4 Pt 1):040901. doi: 10.1103/PhysRevE.79.040901. Epub 2009 Apr 13.
Abstract
Nonlinear ensemble state estimation offers a paradigm-shifting improvement in our ability to observe, predict, and control the state of spiking neuronal systems. We use an ensemble Kalman filter to predict hidden states and future trajectories in the Hodgkin-Huxley equations, reconstruct ion dynamics, control neuronal activity including a strategy for dynamic conductance clamping, and show the feasibility of controlling pathological cellular activity such as seizures.
摘要
非线性总体状态估计在我们观察、预测和控制脉冲神经元系统状态的能力方面带来了范式转变的改进。我们使用总体卡尔曼滤波器来预测霍奇金-赫胥黎方程中的隐藏状态和未来轨迹，重建离子动力学，控制神经元活动，包括动态电导钳制策略，并展示了控制诸如癫痫发作等病理性细胞活动的可行性。
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