@inproceedings{405777e92b7c4eb38774d4d32595fc41,
title = "Dynamics and Synchronization of a Neuron Model with Spiking Patterns",
abstract = "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.",
keywords = "chaos, neuron, spiking, synchronization",
author = "Pham, \{Viet Thanh\} and Serrano, \{Fernando E.\} and Giuseppe Grassi and Shaher Momani and Christos Volos and Riccardo Colella",
note = "Publisher Copyright: {\textcopyright}2024 IEEE.; 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 ; Conference date: 26-06-2024 Through 28-06-2024",
year = "2024",
doi = "10.1109/MOCAST61810.2024.10615876",
language = "English",
series = "2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings",
address = "United States",
}