点击次数：

影响因子：3.5

DOI码：10.1504/IJBIC.2023.10054455

发表刊物：International Journal of Bio-Inspired Computation

刊物所在地：ENGLAND

关键字：Fractional-order systems; Neural network motifs; Discrete LIF model; Chaotic resonance; Dynamic behaviour

摘要：Chaotic resonance (CR) is a phenomenon where nonlinear systems enhance respond to weak signals under the influence of chaotic signals. It exists robustly in nature, including the human nervous system. Can we build a neural network model that can detect weak signals with multiple frequencies under chaotic signals? Note that fractional calculus can naturally capture intrinsic phenomena in complex dynamical. We first introduced fractional calculus and proposed the discrete fractional-order LIF model. The triple-neuron feed-forward loop network motifs are also established. The proposed model has rich response characteristics and can better detect weak signals of various frequencies in the environment. The experimental results show that neuron and neural network motifs can independently respond to a weak signal with a certain frequency by adjusting the fractional order, and network motifs can achieve orderly cluster discharge. This provides a new idea for us to build deeper spiking neural networks and explore the mechanisms of weak signal detection and transmission in biological nervous systems.

论文类型：文章

学科门类：工学

文献类型：J

卷号：21

期号：4

页面范围：175-188

ISSN号：1758-0366

是否译文：否

发表时间：2023-08-04

收录刊物：SCI(E)

发布期刊链接：https://www.inderscienceonline.com/doi/pdf/10.1504/IJBIC.2023.132777