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Minimum energy control for a two-compartment neuron to extracellular electric fields

机译:两室神经元对细胞外电场的最小能量控制

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The energy optimization of extracellular electric field (EF) stimulus for a neuron is considered in this paper. We employ the optimal control theory to design a low energy EF input for a reduced two-compartment model. It works by driving the neuron to closely track a prescriptive spike train. A cost function is introduced to balance the contradictory objectives, i.e., tracking errors and EF stimulus energy. By using the calculus of variations, we transform the minimization of cost function to a six-dimensional two-point boundary value problem (BVP). Through solving the obtained BVP in the cases of three fundamental bifurcations, it is shown that the control method is able to provide an optimal EF stimulus of reduced energy for the neuron to effectively track a prescriptive spike train. Further, the feasibility of the adopted method is interpreted from the point of view of the biophysical basis of spike initiation. These investigations are conducive to designing stimulating dose for extracellular neural stimulation, which are also helpful to interpret the effects of extracellular field on neural activity. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文考虑了神经元细胞外电场(EF)刺激的能量优化。我们采用最佳控制理论来设计用于简化的两室模型的低能量EF输入。它通过驱动神经元来紧密跟踪规定的峰值序列而起作用。引入成本函数以平衡矛盾的目标,即跟踪误差和EF刺激能量。通过使用变化演算,我们将成本函数的最小化转换为六维两点边值问题(BVP)。通过在三个基本分叉的情况下求解获得的BVP,表明该控制方法能够为神经元提供减少能量的最佳EF刺激,以有效跟踪规定的峰值序列。此外,从加标引发的生物物理基础的角度解释了所采用方法的可行性。这些研究有助于设计用于细胞外神经刺激的刺激剂量,这也有助于解释细胞外场对神经活动的影响。 (C)2016 Elsevier B.V.保留所有权利。

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