From Signals to Trajectories: A Primer on Low-Dimensional Dynamics in Human EEG and MEG

arXiv:2609.32315 · q-bio.NC · Submitted 2026-09-26 · Read on arXiv

q-bio.NC

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/thecocolab/pca-neural-trajectories-eeg-meg

Project page: https://thecocolab.github.io/pca-neural-trajectories-eeg-meg

Terminology

• Alignment — 8× in this paper · explained in 1 episode
• Principal Component Analysis — 7× in this paper
• Robustness — 7× in this paper · explained in 5 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• alpha — 4× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Principal Component Analysis (PCA) — 3× in this paper · explained in 4 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Canonical Correlation Analysis — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Gaussian Process Factor Analysis — 1× in this paper
• Generative Model — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes

Sources

• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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