Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems

arXiv:2610.01786 · cs.LG, eess.SP, q-bio.NC, stat.ML · Submitted 2026-10-01 · Read on arXiv

cs.LG, eess.SP, q-bio.NC, stat.ML

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/lindermanlab/ssm

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Latent Dynamics — 7× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Generative AI — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Dynamical regimes — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Temporal Correlations — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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