Offset Boosting-Entangled Complex Dynamics in the Memristive Rulkov Neuron
点击次数：发表时间：2024-03-05
- DOI码：10.1109/TIE.2023.3325558
- 发表刊物：IEEE Transactions on Industrial Electronics
- 摘要：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.
- 全部作者：雷腾飞,杨勇,陈关荣
- 第一作者：李泳新
- 论文类型：期刊论文
- 通讯作者：李春彪
- 是否译文：否
- 收录刊物：SCI
+
论文成果
个人信息
- 性别：男
- 职称：教授
- 所在单位：人工智能学院（未来技术学院、人工智能产业学院）
曾获荣誉：
- 2023-12-01 曾获荣誉当选： 江苏省工程师学会科学技术奖 提名奖
- 2023-01-02 曾获荣誉当选： 2022年江苏省通信学会科学技术奖一等奖
- 2018-08-01 曾获荣誉当选： 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 曾获荣誉当选： 江苏省教育教学与研究成果奖（研究类）三等奖
- 2015 曾获荣誉当选： 领跑者5000
- 2013 曾获荣誉当选： 第八届春晖杯大赛优胜奖
- 2014 曾获荣誉当选： 国家级教学成果奖
- 2011 曾获荣誉当选： 省级教学成果奖
其他联系方式
- 邮编：
- 通讯/办公地址：
- 办公室电话：
- 移动电话：
- 邮箱：