爆裂
同步(交流)
人工神经网络
计算机科学
李雅普诺夫函数
生物神经网络
理论(学习稳定性)
罗斯(数学)
神经科学
控制理论(社会学)
物理
数学
人工智能
生物
非线性系统
电信
机器学习
量子力学
几何学
频道(广播)
控制(管理)
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2021-08-20
卷期号:69 (3): 1737-1741
被引量:11
标识
DOI:10.1109/tcsii.2021.3106400
摘要
In neuronal networks, synchronized bursts are of greater significance. These bursts get developed in recurrent networks, astrocytic recycling of neurotransmitters, positive feedback by synapses, and short-term synaptic plasticity. Being inspired by the significance of bursting phenomena in neuronal networks, the present work is focused on finding sufficiency conditions of synchronized bursts using coupled Hindmarsh-rose model. Non-smooth Lyapunov function-based stability analysis for synchronization of bursts in coupled neural oscillators has been proposed. The outcomes are verified through experimentations on equivalent electronic set-up and numerical simulations.
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