Impact Factor:3.5
DOI Number:10.3389/fphy.2021.759913
Journal:frontiers in physics
Key Words:memristive computation, variable boostable chaotic system, hindmarsh-rose neuron model, offset boosting, dynamics control
Abstract:A variable boostable chaotic system and the Hindmarsh–Rose neuron model are applied for observing the dynamics revised by memristive computation. Nonlinearity hidden in a memristor makes a dynamic system prone to be chaos. Inherent dynamics in a dynamic system can be preserved in specific circumstances.
Specifically, as an example, offset boosting in the original system is inherited in the derived memristive system, where the average value of the system variable is rescaled linearly by the offset booster. Additional feedback from memristive computation raises chaos, as a case, in the Hindmarsh–Rose neuron model the
spiking behavior of membrane potential exhibits chaos with a relatively large parameter region of the memristor.
All the Authors:雷腾飞,姜易成,王然
First Author:马旭
Indexed by:Journal paper
Correspondence Author:Li Chunbiao
Document Code:759913
Discipline:Engineering
Volume:9
Translation or Not:no
Date of Publication:2021-10-27
Included Journals:SCI
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School/Department : 人工智能学院(未来技术学院、人工智能产业学院)
Business Address : 临江楼(信息科技大楼)1904
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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
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