🪰 A new ‘Eyemap’ developed by a team led by Arthur Zhao & @michaelreiser.bsky.social reveals how visual information detected by the fly’s eye shows up in neurons deep in the brain. Remarkably, the eye’s shape determines how flies see motion.👁️
🔗 hhmi.news/4kSZjou
Video
How can we use machine learning to find subtle patterns in our data and have them visualized?
Read the thread below to find out how!
Or head to @adjavon.bsky.social's blog post and let Simon the duck walk you through it (like a duck of course): tinyurl.com/yy7csdcd
www.biorxiv.org/content/10.1...
Janelia Research Campus
Friday, 13:15 (Poster 2-048) at @cosynemeeting.bsky.social #cosyne2026: @allierced.bsky.social and @lappalainenjk.bsky.social present how they made GNNs learn interpretable circuit models from neural activity. Code: saalfeldlab.github.io/flyvis-gnn/
Grateful to many. @ml4science.bsky.social built an amazing environment for this research. Taking some of these open challenges with me now as I start my next chapter at the Allen Institute and UW in Seattle! ⛰️👨💻🐋🔬
