Dynamics and Synchronization of a Neuron Model with Spiking Patterns

被引：0

作者：

Pham, Viet-Thanh ^{[1
]}

Serrano, Fernando E. ^{[2
]}

Grassi, Giuseppe ^{[3
]}

Momani, Shaher ^{[4
,5
]}

Volos, Christos ^{[6
]}

Colella, Riccardo ^{[3
,7
]}

机构：

[1] Ind Univ Ho Chi Minh City, Fac Elect Technol, Ho Chi Minh City, Vietnam

[2] Univ Politecn Cataluna, Inst Robot & Informat Ind, Barcelona, Spain

[3] Univ Salento, Dept Engn Innovat, Lecce, Italy

[4] Ajman Univ, Nonlinear Dynam Res Ctr, Ajman, U Arab Emirates

[5] Univ Jordan, Fac Sci, Dept Math, Amman, Jordan

[6] Aristotle Univ Thessaloniki, Dept Phys, Thessaloniki, Greece

[7] Natl Res Council Italy, CNR, Lecce, Italy

来源：

2024 13TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES, MOCAST 2024 | 2024年

关键词：

neuron; spiking; chaos; synchronization; IMPLEMENTATION;

D O I：

10.1109/MOCAST61810.2024.10615876

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Neuron models serve as a foundational tool in neuroscience, artificial intelligence, and various scientific disciplines. They facilitate our understanding of neural processes and inspire computational models. This work studies neuron model with spiking patterns and its synchronization. Our investigation shows equilibrium, chaos, multi-stability, and spiking of the model. Synchronization is introduced for controlling the state of neuron, which is enlarged for promised applications.

引用

页数：4