These plugins add additional features to Phy2. Originally created for Phy1 by Peter Petersen and made compatible with Phy2 by Thomas Hainmueller. Newly updated implementations made by Mingze Dou.
- ImprovedISIAnalysis (
alt+i): Detects ISI conflicts using multiple metrics - StableMahalanobisDetection (
alt+x): Outlier detection with interactive visualization - ReclusterUMAP (
alt+k): Modern reclustering using UMAP and template matching - GoodLabelsPlugin: Improved cluster organization that sorts by quality (good > mua > noise). Provides better workflow organization despite Phy's real-time update limitations.
- Reclustering (
alt+shift+k,alt+shift+t): KlustaKwik 2.0 based reclustering - Mahalanobis Distance (
alt+shift+x): Outlier detection (threshold: 16 std) - K-means Clustering (
alt+shift+q): Basic clustering with adjustable clusters - ISI Violation (
alt+shift+i): Visualize refractory period violations
pip install pandas numpy scipy scikit-learn umap-learn- Place files in
~/.phy/plugins directory - Install dependencies
- Copy 'tempdir.py' to "YourPhyDirectory/phy/utils"
- Original Phy1: Peter Petersen
- Phy2 compatibility: Thomas Hainmueller
- New implementations: Mingze Dou
Is this more what you were looking for? It's much more concise while retaining all the essential information.