https://doi.org/10.1140/epjp/s13360-022-02761-0
Regular Article
Rotation control of an HR neuron with a locally active memristor
1
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, 210044, Nanjing, China
2
School of Artificial Intelligence, Nanjing University of Information Science & Technology, 210044, Nanjing, China
3
School of Physics and Telecommunications Engineering, Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing, Yulin Research Institute of Big Data, Yulin Normal University, 537000, Yulin, China
4
School of Information Science and Technology, Nantong University, 226019, Nantong, China
b goontry@126.com, chunbiaolee@nuist.edu.cn
Received:
10
January
2022
Accepted:
23
April
2022
Published online:
4
May
2022
When a locally active memristor is applied to the Hindmarsh–Rose neuron, complex neuromorphological dynamics can be observed. Local active memristor leads to neuromorphological oscillation giving various neuron spiking. The rotation control is applied to explore the chaotic bursting. It is found that the amplitude of the neuron bursting changes regularly according to the angle of rotating without dynamics switching. The rotation control is compared with the offset boosting showing the complete control of spiking under selected rotation. The design of the rotation control matrix is the fundamental factor for amplitude control, which does not revise the Lyapunov exponents but only leaves a suitable amplitude and offset modification.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2022
