Tutorial for building inverted encoding models (IEM) with EEG data. The current repository illustrates several data preprocessing methods to improve IEMs including principal and independent component analyses (PCA, ICA) as well as ridge regularization by shrinkage which is an effective method to reduce multi-collinearities that are present in EEG.
active 2024-10-26 → 2024-11-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 16 days from 2024-10-26 to 2024-11-10. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| mert-ozkan | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.