Controlling Chaotic Resonance using External Feedback Signals in Neural Systems
Controlling Chaotic Resonance using External Feedback Signals in Neural Systems
复制标题
DOI：
10.1038/s41598-019-41535-0
复制
发表时间：
2019-03
影响因子：
4.6
通讯作者：
S. Nobukawa;Natsusaku Shibata
中科院分区：
文献类型：
--
作者：
S. Nobukawa;Natsusaku Shibata
随机共振是非线性系统的信号响应被适当的外部噪声增强的一种现象。同样，确定性混沌也会导致类似的现象；这被称为混沌共振。为了提高触觉灵敏度，已经提出了采用随机共振的装置。然而，尽管混沌共振比随机共振具有更高的灵敏度，但迄今为止还没有报道过混沌共振的应用。应用中的这种对比可以归因于通过调整内部参数引起混沌共振的事实。在许多情况下，特别是在生物系统中，这些参数很难调整。在这项研究中，通过将我们提出的轨道约简区域方法应用于由兴奋性和抑制性神经元组成的神经系统，我们诱导了信号频率依赖于弱输入信号的混沌共振。此外，外部噪声对混沌共振的信号响应既有减弱作用，也有增强作用。本研究的结果可能有助于利用混沌共振机制的器件的发展。
Stochastic resonance is a phenomenon in which the signal response of a non-linear system is enhanced by appropriate external noise. Likewise, a similar phenomenon can be caused by deterministic chaos; this is called chaotic resonance. Devices that employ stochastic resonance have been proposed for the purpose of enhancing tactile sensitivity. However, no applications of chaotic resonance have been reported so far, even though chaotic resonance exhibits a higher sensitivity than stochastic resonance. This contrast in applications could be attributed to the fact that chaotic resonance is induced by adjusting internal parameters. In many cases, especially in biological systems, these parameters are difficult to adjust. In this study, by applying our proposed reduced region of orbit method to a neural system consisting of excitatory and inhibitory neurons, we induce chaotic resonance with signal frequency dependency against weak input signals. Furthermore, the external noise exhibits effects for both diminishing and enhancing signal responses in chaotic resonance. The outcome of this study might facilitate the development of devices utilising the mechanism of chaotic resonance.