Best part about being a scientist is the people I get to work with. Valentin (@bio-emergent.bsky.social) and I got to give a talk at NeurIPS, bridging a gap between low- and high-dim perspectives of the brain. Thankfully, the audience was (somewhat) more awake than the San Diego desert 🏜️

Tomorrow at #NeurIPS2025! Oral at 10 am in UL Ballroom 20D and poster #2016 at 11 am. @haydari.bsky.social and I are looking forward to hearing your thoughts.

🎉 "High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model" will be presented as an oral at #NeurIPS2025 🎉 Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models. www.biorxiv.org/content/10.1... 1/2

Some neurons respond more strongly to visual stimuli than others. But the rest of the brain doesn’t prioritize signals from those neurons, according to a new study. Read more in this month’s Null and Noteworthy. By @ldattaro.bsky.social #neuroskyence www.thetransmitter.org/null-and-not...

Introducing our new favorite stimulus. A few minutes are enough to map the visual preferences of thousands of neurons. Mapping the visual cortex with Zebra noise and wavelets www.biorxiv.org/content/10.1... By Sophie Skriabine and Max Shinn, with Samuel Picard and @kenneth-harris.bsky.social

New by Agnès Landemard (@agnesland.bsky.social‬) & co Brainwide blood volume reflects opposing neural populations Brainwide fluctuations in blood volume arise from two populations with opposite relation to brain state and distinct relationships to blood supply www.biorxiv.org/content/10.1...

Our new preprint 👀

The firing of neural populations is high-dim even if their subthreshold activity is low-dim! This work by @bio-emergent.bsky.social and @haydari.bsky.social shows how, with a solvable model, a data analysis technique, and data from mouse visual cortex: www.biorxiv.org/content/10.1...

Excited to share my PhD paper! In it, we use targeted 2-photon optogenetic stimulation to determine how V1 activity is read-out in a detection task. We found that network influence, not visual coding properties, predicted the impact of ensembles on behavior - contradicting our expectations (1/5).

Our paper describing UnitMatch software "tracking neurons across days with high-density probes", appeared in this month's issue of #NatureMethods. Missed it? Read it here: www.nature.com/articles/s41...

If you do multi-plane 2p imaging, you may see the same cells across planes. We built Suite3D exactly for this purpose! It removes duplicates, corrects axial movement, finds more cells with less noise, much faster than alternatives. github.com/alihaydarogl... Try on your data, and reach out!