中国物理B ›› 2025, Vol. 34 ›› Issue (12): 128702-128702.doi: 10.1088/1674-1056/ae111d

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Bifurcation dynamics govern sharp wave ripple generation and rhythmic transitions in hippocampal-cortical memory networks

Xin Jiang(姜鑫)1, Jialiang Nie(聂嘉良)1, Denggui Fan(樊登贵)2, and Lixia Duan(段利霞)1,†   

  1. 1 College of Science, North China University of Technology, Beijing 100144, China;
    2 School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
  • 收稿日期:2025-08-25 修回日期:2025-09-29 接受日期:2025-10-09 发布日期:2025-12-10
  • 通讯作者: Lixia Duan E-mail:duanlx@ncut.edu.cn
  • 基金资助:
    This project was supported by the National Natural Science Foundation of China (Grant Nos. 12272002 and 12372061), the R&D Program of Beijing Municipal Education Commission (Grant No. KM202310009004), the North China University of Technology (Grant No. 2023XN075-01), and the Youth Research Special Project of the North China University of Technology (Grant No. 2025NCUTYRSP051).

Bifurcation dynamics govern sharp wave ripple generation and rhythmic transitions in hippocampal-cortical memory networks

Xin Jiang(姜鑫)1, Jialiang Nie(聂嘉良)1, Denggui Fan(樊登贵)2, and Lixia Duan(段利霞)1,†   

  1. 1 College of Science, North China University of Technology, Beijing 100144, China;
    2 School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2025-08-25 Revised:2025-09-29 Accepted:2025-10-09 Published:2025-12-10
  • Contact: Lixia Duan E-mail:duanlx@ncut.edu.cn
  • Supported by:
    This project was supported by the National Natural Science Foundation of China (Grant Nos. 12272002 and 12372061), the R&D Program of Beijing Municipal Education Commission (Grant No. KM202310009004), the North China University of Technology (Grant No. 2023XN075-01), and the Youth Research Special Project of the North China University of Technology (Grant No. 2025NCUTYRSP051).

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摘要： This study investigates the bifurcation dynamics underlying rhythmic transitions in a biophysical hippocampal-cortical neural network model. We specifically focus on the membrane potential dynamics of excitatory neurons in the hippocampal CA3 region and examine how strong coupling parameters modulate memory consolidation processes. Employing bifurcation analysis, we systematically characterize the model’s complex dynamical behaviors. Subsequently, a characteristic waveform recognition algorithm enables precise feature extraction and automated detection of hippocampal sharp-wave ripples (SWRs). Our results demonstrate that neuronal rhythms exhibit a propensity for abrupt transitions near bifurcation points, facilitating the emergence of SWRs. Critically, temporal rhythmic analysis reveals that the occurrence of a bifurcation is not always sufficient for SWR formation. By integrating one-parameter bifurcation analysis with extremum analysis, we demonstrate that large-amplitude membrane potential oscillations near bifurcation points are highly conducive to SWR generation. This research elucidates the mechanistic link between changes in neuronal self-connection parameters and the evolution of rhythmic characteristics, providing deeper insights into the role of dynamical behavior in memory consolidation.

关键词: hippocampal-cortical memory networks, bifurcation analysis, rhythmic transitions, sharp wave ripples

Abstract: This study investigates the bifurcation dynamics underlying rhythmic transitions in a biophysical hippocampal-cortical neural network model. We specifically focus on the membrane potential dynamics of excitatory neurons in the hippocampal CA3 region and examine how strong coupling parameters modulate memory consolidation processes. Employing bifurcation analysis, we systematically characterize the model’s complex dynamical behaviors. Subsequently, a characteristic waveform recognition algorithm enables precise feature extraction and automated detection of hippocampal sharp-wave ripples (SWRs). Our results demonstrate that neuronal rhythms exhibit a propensity for abrupt transitions near bifurcation points, facilitating the emergence of SWRs. Critically, temporal rhythmic analysis reveals that the occurrence of a bifurcation is not always sufficient for SWR formation. By integrating one-parameter bifurcation analysis with extremum analysis, we demonstrate that large-amplitude membrane potential oscillations near bifurcation points are highly conducive to SWR generation. This research elucidates the mechanistic link between changes in neuronal self-connection parameters and the evolution of rhythmic characteristics, providing deeper insights into the role of dynamical behavior in memory consolidation.

Key words: hippocampal-cortical memory networks, bifurcation analysis, rhythmic transitions, sharp wave ripples

中图分类号:  (Dynamics of evolution)

  • 87.23.Kg
87.19.ll (Models of single neurons and networks) 87.19.lv (Learning and memory) 87.10.Ed (Ordinary differential equations (ODE), partial differential equations (PDE), integrodifferential models)