Hippocampal CA3–CA1 synaptic network model of memory

被引:0
|
作者
Lei Yang
Hong-Hui Zhang
Zhong-Kui Sun
Lin Du
Guan-Rong Chen
机构
[1] Northwestern Polytech University,School of Mathematics and Statistics
[2] Northwestern Polytech University,MIIT Key Laboratory of Dynamics and Control of Complex Systems
[3] City University of Hong Kong,Department of Electrical Engineering
来源
Nonlinear Dynamics | 2024年 / 112卷
关键词
Memory; Hippocampus; Network; AMPARs;
D O I
暂无
中图分类号
学科分类号
摘要
A synaptic network model is proposed to characterize both short-term and long-term memory. The model describes the calcium concentration-dependent bistability of CaMKII phosphorylation levels and the transition of CaMKII between DOWN and UP states under different stimulation protocols. Numerical results demonstrate that short-term memory can be characterized by a trajectory tending to zero, while long-term memory can be characterized by a heteroclinic trajectory based on the principle of winnerless competition. Additionally, the results suggest that the model forms memories more efficiently with faster and longer training.
引用
收藏
页码:7499 / 7525
页数:26
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