Department of Computer Science, Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino, Chiba, 275-0016, Japan.
Sci Rep. 2019 Mar 21;9(1):4990. doi: 10.1038/s41598-019-41535-0.
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.
随机共振是一种现象，其中非线性系统的信号响应通过适当的外部噪声得到增强。同样，类似的现象也可以由确定性混沌引起；这被称为混沌共振。已经提出了利用随机共振的设备来提高触觉灵敏度。然而，到目前为止，还没有报道任何关于混沌共振的应用，尽管混沌共振比随机共振具有更高的灵敏度。这种应用上的差异可能归因于这样一个事实，即混沌共振是通过调整内部参数来产生的。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，通过将我们提出的简化轨道区域方法应用于由兴奋性和抑制性神经元组成的神经网络系统，我们在弱输入信号下，通过信号频率相关性诱导出混沌共振。此外，外部噪声在混沌共振中对信号响应既有减弱作用也有增强作用。这项研究的结果可能有助于利用混沌共振机制的设备的开发。
