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Hippocampal CA3–CA1 synaptic network model of memory

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Abstract

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.

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Source: Figure revised from Ref. [1]

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported by the National Natural Science Foundation of China (Nos. 11972288, 12272295, 12072265).

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Authors and Affiliations

  1. School of Mathematics and Statistics, Northwestern Polytech University, Xi’an, 710129, China

    Lei Yang & Zhong-Kui Sun

  2. MIIT Key Laboratory of Dynamics and Control of Complex Systems, Northwestern Polytech University, Xi’an, 710129, China

    Hong-Hui Zhang & Lin Du

  3. Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China

    Guan-Rong Chen

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  1. Lei Yang
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  2. Hong-Hui Zhang
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Original draft preparation was done by LY; funding acquisition was done by HZ and ZS; supervision was done by ZS and LD; review and editing was done by HZ and GC.

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Correspondence to Zhong-Kui Sun.

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Yang, L., Zhang, HH., Sun, ZK. et al. Hippocampal CA3–CA1 synaptic network model of memory. Nonlinear Dyn 112, 7499–7525 (2024). https://doi.org/10.1007/s11071-024-09375-4

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