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/

My dissertation is just out today: hdl.handle.net/10900/176447 Timely for the current discussion. It covers predicting neural function underlying behavior with connectomes & ML, why single models aren't enough, and remaining challenges for whole-brain simulation (e.g. Chapter 4.1.1).

Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41...

🪰 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

Computational sciences can offer a unique opportunity for democratized access and participation, but we are currently falling far short of that goal, writes @neuromatch.bsky.social's @meganakpeters.bsky.social and Bradley Roberts‬‬‬‬. #neuroskyence www.thetransmitter.org/education/ho...

In the physical world, almost all information is transmitted through traveling waves -- why should it be any different in your neural network? Super excited to share recent work with the brilliant @mozesjacobs.bsky.social: "Traveling Waves Integrate Spatial Information Through Time" 1/14

🚀 Applications are OPEN for the CAJAL NeuroAI course! Learn how AI & deep learning help us model brain activity & behavior. Work with experts, get hands-on training & join a global network! 📅 Apply by March 7 🔗 loom.ly/xg_uRKE #NeuroAI #DeepLearning #Neuroscience

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...

Ever wanted to do deep learning with a neural net that is one-to-one mapped to 65.05% of the fruit fly brain? 😄 Before this year ends, I will quickly advertise our code release of `flyvis.` Docs: t.ly/YqWzR Repo: t.ly/pMWpp Work with @jakhmack.bsky.social, @srinituraga.bsky.social and colleagues

Thinking about this a lot as a (pre-tenure) PI. There just isn't enough time to go deeply into an idea, which is obviously bad for (my) science.

Why study the fruit fly brain? Tech giants spend billions on gigantic neural networks, but there’s a fruit fly with only 130_000 neurons that can do so much more and runs on less power than a quartz watch.