期刊论文

Yu, F

英文

Neural Networks

0893-6080

2024

171

85-103

10.1016/j.neunet.2023.12.008

CRediT authorship contribution statement Xinxin Kong: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing. Fei Yu: acquisition, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing. Wei Yao: Investigation, Methodology, Software, Supervision, Validation, Visualization. Shuo Cai: acquisition, Project administration, Supervision, Visualization. Jin Zhang: Project

本校为第一且通讯机构

Fractional-order differentiation (FOD) can record information from the past, present, and future. Compared with integer-order systems, FOD systems have higher complexity and more accurate ability to describe the real world. In this paper, two types of fractional-order memristors are proposed and one type is proved to have extreme multistability, local activity, and non-volatility. By using memristors to simulate the autapse of a neuron and to describe the phenomenon of electromagnetic induction caused by electromagnetic radiation, we establish a new 5D FOD memristive HNN (FOMHNN). Through dyna...