Same sound, different perception: Do expectations change what you hear?👂🧠 We paired faces w topics and played the same ambiguous speech w different faces. The brain sharpened sensory signals toward predictions and showed gated prediction errors at higher levels. Read @plosbiology.org. Blueprint👇

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

How well do classifiers trained on visual activity actually transfer to non-visual reactivation? #Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!

🧠 Regularization, Action, and Attractors in the Dynamical “Bayesian” Brain direct.mit.edu/jocn/article... (still uncorrected proofs, but they should post the corrected one soon--also OA is forthcoming, for now PDF at brainandexperience.org/pdf/10.1162-...)

In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:

🚨 Fresh preprint w/ @helenblank.bsky.social! How does the brain acquire expectations about a conversational partner, and how are priors integrated w/ sensory inputs? Current evidence diverges. Is it prediction error? Sharpening? Spoiler: It's both.👀 🧵1/16 www.biorxiv.org/content/10.1...

It's been a while since our last laminar MEG paper, but we're back! This time we push beyond deep versus superficial distinctions and go whole hog. Check it out- lots more exciting stuff to come! 🧠📈