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Updated: Jul 8, 2025

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
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复杂的自适应学习皮质神经网络系统用于解决带有爆发和混合模式振荡行为的时间微分方程

Yu-Ming Chu1, Saima Rashid2,3, Taher Alzahrani4

  • 1Department of Mathematics, Huzhou University, Huzhou, 313000, China.

Scientific reports
|December 17, 2023
PubMed
概括

伊希克维奇神经元模型中的分数顺序动态引入了依赖于记忆的行为,产生了对皮层神经元功能至关重要的多样化的尖端和爆发模式. 这项研究探讨了这些分数机制如何影响神经元属性和网络同步.

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