We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
Paper: www.nature.com/articles/s41...
Paper: www.nature.com/articles/s41...
Thank you to everyone for joining our tutorial on Jaxley and DendroTweaks! It was a great pleasure organizing it toghether with @kyrakadhim.bsky.social, @deismic.bsky.social and @spiroschav.bsky.social
Find all tutorial materials here: github.com/r-makarov/cn...