yulewang97/ERDiff
[NeurIPS 2023 Spotlight] Official Repo for "Extraction and Recovery of Dpatio-temporal Structure in Latent Dynamics Alignment with Diffusion Models"
This project helps researchers analyze complex neural activity patterns by extracting and aligning spatio-temporal structures from different brain recordings. It takes raw neural data from various experimental sessions and provides aligned, interpretable representations of brain states and their dynamics. Neuroscientists and cognitive scientists can use this to compare brain activity across different subjects or experimental conditions.
Use this if you need to reliably compare and align complex, time-varying neural data from multiple recording sessions or subjects to uncover underlying brain dynamics.
Not ideal if you are looking for a simple statistical analysis tool or if your data does not involve spatio-temporal neural dynamics.
Stars
51
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
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