SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
active 2023-08-24 → 2025-07-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 687 days from 2023-08-24 to 2025-07-10. Pushes: 7 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 2 in a day. Comments: 2 total, peak 1 in a day. Stars: 20 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| arnodelorme | 9 | 7 | 0 | 1 |
| Sumire0612 | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#11Sumire06122023-09-26 06:29Bug of Model Order Selection in SIFT
- Issue comment#10Sumire06122023-09-22 00:22Matlab toolbox required for SIFT
- Issue comment#10arnodelorme2023-09-21 15:53Matlab toolbox required for SIFT
- Issue#10arnodelorme2023-09-21 15:53Matlab toolbox required for SIFT
- Issue#10Sumire06122023-09-21 07:07Matlab toolbox required for SIFT
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 20 stars here means stars gained during the window, not the repo's star count.