论文标题
自适应电导控制
Adaptive Conductance Control
论文作者
论文摘要
神经调节对于动物神经系统的适应性和鲁棒性至关重要。本文探讨了间接自适应控制的经典范式，以设计基于电导的神经元模型中的神经调节控制器。显示最大电导参数的自适应控制可提供与机器人技术中神经调节和阻抗控制的中心概念相一致的方法。
Neuromodulation is central to the adaptation and robustness of animal nervous systems. This paper explores the classical paradigm of indirect adaptive control to design neuromodulatory controllers in conductance-based neuronal models. The adaptive control of maximal conductance parameters is shown to provide a methodology aligned with the central concepts of neuromodulation in physiology and of impedance control in robotics.
