DOI Number:10.1109/TIE.2023.3325558
Journal:IEEE Transactions on Industrial Electronics
Abstract:A discrete memristor is introduced into the Rulkov neuron to mimic biological neuronal synapse and modify firing dynamics. In the memristive Rulkov neuron, chaotic firing with local amplitude control is obtained, where the range of chaotic bursting can be modified by two independent controllers. These two independent bifurcation parameters provide direct amplitude/frequency control. Furthermore, offset boosting-entangled complex dynamics are captured, where the initial condition of the membrane potential can visit any of the self-reproducing attractors and even modify the complex firing, indicating the coexistence of homogeneous and heterogeneous multistabilities. Consequently, a CH32-based circuit is developed to verify various firing activities. The pseudo-random number generator results are explored based on the National Institute of Standards and Technology showing its higher performance in secure optical communication, which is further proved in the seven-core 2-km communication setup.
All the Authors:雷腾飞,杨勇,陈关荣
First Author:李泳新
Indexed by:Journal paper
Correspondence Author:李春彪
Translation or Not:no
Included Journals:SCI
Professor
Supervisor of Doctorate Candidates
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Gender : Male
School/Department : 人工智能学院(未来技术学院、人工智能产业学院)
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Honors and Titles:
江苏省工程师学会科学技术奖 提名奖 2023-12-01
2022年江苏省通信学会科学技术奖一等奖 2023-01-02
2018年 江苏省教育教学与研究成果奖(研究类)三等奖(高校自然科学研究类) 2018-08-01
江苏省教育教学与研究成果奖(研究类)三等奖 2018
领跑者5000 2015
第八届春晖杯大赛优胜奖 2013
国家级教学成果奖 2014
省级教学成果奖 2011
The Last Update Time : 2020.5.21