Neuronal computation in the cerebellum via a vector calculus. Work of Mohammad Amin Fakharian, Alden Shoup, Paul Hage, and Hisham Elseweifi www.science.org/doi/10.1126/...

A detailed schedule for CCN2025 is available on our website now, including the specific keynotes / GACs / community events taking place: 2025.ccneuro.org/schedule-of-... The early bird registration deadline is coming up this Friday (23rd May)!

New paper! 🧠 **The cerebellar components of the human language network** with: @hsmall.bsky.social @moshepoliak.bsky.social @gretatuckute.bsky.social @benlipkin.bsky.social @awolna.bsky.social @aniladmello.bsky.social and @evfedorenko.bsky.social www.biorxiv.org/content/10.1... 1/n 🧵

📣 Grad students and postdocs in computational and theoretical neuroscience: please consider applying for the 2025 Flatiron Institute Junior Theoretical Neuroscience Workshop! All expenses are covered. Apply by April 14. jtnworkshop2025.flatironinstitute.org

I couldn’t recommend a better place to learn and work if you’re considering neuroscience grad school and want to interact with phenomenal scientists!

So excited to have our work on conlangs out in PNAS: www.pnas.org/doi/10.1073/... Congrats, Saima, Maya, and the rest of the crew -- well done! Here is the MIT news story: news.mit.edu/2025/esperan...

Very important work by @rarefin.bsky.social, Oscar Skean, @yann-lecun.bsky.social and @shwartzzzivravid.bsky.social on richness of information content in intermediate layers in LLMs. highly recommended

🚨 First preprint from the lab! 🚨 Josh Rozner (w/@weissweiler.bsky.social and @kmahowald.bsky.social) uses counterfactual experiments on LMs to show that word distributions can provide a learning signal for diverse syntactic constructions, including some hard cases.

What should count as a good model of intelligence? AI is advancing rapidly, but how do we know if it captures intelligence in a scientifically meaningful way? We propose the *NeuroAI Turing Test*—a benchmark that evaluates models based on both behavior and internal representations.

Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments towards deeper insights, writes @gershbrain.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...

Nature research paper: Children’s arithmetic skills do not transfer between applied and academic mathematics https://go.nature.com/40PT3pT

📢 Applications are open for 2025 Analytical Connectionism! Topical focus: bias in learning Learn key connectionist models & analytical tools for neural-network analysis, and work on novel projects with faculty & postdoc mentors ⏰ Apply by 18 April ℹ️ www.analytical-connectionism.net/school/2025

Our representational alignment workshop returns to #ICLR2025! Submit your work on how ML/cogsci/neuro systems represent the world & what shapes these representations 💭🧠🤖 w/ @thisismyhat.bsky.social @dotadotadota.bsky.social, @sucholutsky.bsky.social @lukasmut.bsky.social @siddsuresh97.bsky.social

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior. w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

Why do diverse ANNs resemble brain representations? Check out our new paper with Colton Casto, @nogazs.bsky.social , Colin Conwell, Mark Richardson, & @evfedorenko.bsky.social on “Universality of representation in biological and artificial neural networks.” 🧠🤖 tinyurl.com/yckndmjt

New paper from our lab, by Mark Saddler, using machine learning to test the role of temporal coding in hearing. Here is a quick summary. (1/n) www.nature.com/articles/s41...