基于关键参数反馈的神经元放电模式控制

Neurons Firing Mode Control Based on Key Parameters Feedback

针对神经元数学模型中相关参数的异常变化问题,先通过无迹Kalman滤波器(unscented Kalman filter)对这些关键参数进行实时估计,再使用这些参数作为控制器的反馈信号完成神经元放电的有效闭环控制.使用该方法对Pinsky-Rinzel(PR)神经元由于关键参数(胞体和树突间的电导gc及树突刺激电流Ic)的病变导致的异常放电进行MATLAB仿真控制,分别实现了单参数病变及两个参数同时病变引起的异常放电控制.实验结果证明了该方法的有效性.

Aiming at the problem of the abnormal change of the related parameters in the mathematical model of neuron,we first made a real time estimation of these key parameters by unscented Kalman filter（ UKF）,and then took these parameters as feedback signal of the controller to complete closed loop control of the neuron discharge. With this method,the MATLAB simulation was carried out for the abnormal discharge caused by the key parameters（ the conductance between cell bodies and dendrites gc,and the stimulated currents of dendrites Ic） of Pinsky-Rinzel（ PR） neuron,and the control of abnormal discharge caused by single parameter and two parameters were achieved respectively. The experimental results show the proposed method is effective.