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Adaptive Conductance Control (2204.08711v1)
Published 19 Apr 2022 in eess.SY, cs.SY, and q-bio.NC
Abstract: 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.