仿生硬件中枢模式发生器(hCPG)在心血管疾病治疗中的应用

Ashok S. Chauhan, Le Zhao, J. Paton, A. Nogaret
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引用次数: 0

摘要

我们报道了一种hCPG装置,它是一个硅神经元网络,及其在心肺治疗中的应用。我们研究了通过相互抑制突触竞争的神经元的混沌动力学,并证明了多稳定行为的出现。我们可以通过赋予不同的初始条件和模拟延迟刺激的定时电流步来选择与稳定振荡模式相关的时空序列。我们针对不同的网络连接构造了hCPG的相位滞后图。我们还描述了一种更简单的双神经元hCPG,它产生两相节律模式,通过呼吸刺激迷走神经和调节心率,从而获得人工呼吸窦性心律失常(RSA)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-inspired Hardware Central Pattern Generator (hCPG) as a Therapy for Cardiorespiratory Disease
We report on a hCPG device, which is a network of silicon neurons, and its applications to cardiorespiratory therapy. We study the chaotic dynamics of neurons that compete through mutually inhibitory synapses and demonstrate the emergence of multistable behavior. We were able to select the spatio-temporal sequences associated with stable modes of oscillation by imparting different initial conditions with timed current steps mimicking delayed stimuli. We constructed the phase lag maps of the hCPG for various connectivities of the network. We also describe a simpler two neuron hCPG which generates a two-phase rhythmic pattern for vagus nerve stimulation and modulation of heart rate by respiration to obtain artificial respiratory sinus-arrhythmia (RSA).
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