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MTS-SLDS：多时间尺度切换线性动力学系统推断神经动力学

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MTS-SLDS 框架通过多滞后矩初始化与 regime-conditioned Laplace-EM 推理，从连续或脉冲神经观测中识别 regime 特定潜时标。

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LatestOct 2
2026-10-02 框架论文发布于 arXiv · Statistics Machine Learning。

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Oct 2, 2026
  1. arXiv · Statistics Machine Learning
    切换线性动力学系统推断多时间尺度神经动力学

    summary_zh: MTS-SLDS 框架通过多滞后矩初始化与 regime-conditioned Laplace-EM 推理，从连续或脉冲神经观测中识别 regime 特定潜时标。

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