1/ To reduce distraction and boost focus, nothing works better than linking performance to rewards 💰 But what about focusing to avoid penalties? Turns out — it works too… just not as much as combining both! Check out our new preprint 👇 w/ Ed Vogel and @monicarosenb.bsky.social

To get back on track after a distraction, the brain appears to employ a rotating traveling wave, a new study by the lab of @earlkmiller.bsky.social finds. picower.mit.edu/news/after-d... @mitbcs.bsky.social #neuroscience #cognition

🏆 #CNS2026 Young Investigator Award Winners 🏆 Congratulations to Monica Rosenberg and Samuel D. McDougle, recipients of the 2026 Young Investigator Award! 🎉 We look forward to their award lectures at the CNS 2026 Annual Meeting in Vancouver, BC, Canada! 🇨🇦✨ @cogneuronews.bsky.social

Thrilled to share our new preprint highlighting distinct neurocomputational mechanisms underlying how reward and punishment determine adaptive cognitive control - a massive fMRI study and collaborative team effort with the @shenhavlab.bsky.social 🧠 Link here: www.biorxiv.org/content/10.1...

Check out our new preprint: www.biorxiv.org/content/10.1... And Paris' thread (@parboulakis.bsky.social): bsky.app/profile/parb... Where we explore the neural signature of mind blanking using EEG and fMRI combined!

Spatial attention and working memory are popularly thought to be tightly coupled. Yet, distinct neural activity tracks attentional breadth and WM load. In a new paper @jocn.bsky.social, we show that pupil size independently tracks breadth and load. doi.org/10.1162/JOCN...

Ever slam on the brakes after seeing a speed trap? Or better yet, slow down ahead in anticipation? In our new paper w/ @anask07.bsky.social in @cp-iscience.bsky.social, we use #iEEG to study the neural basis of reactive and proactive control in medial and lateral PFC. tinyurl.com/4bbwbffv

1/ Why are we so easily distracted? 🧠 In our new EEG preprint w/ Henry Jones, @monicarosenb.bsky.social and @edvogel.bsky.social we show that distractibility is associated w/ reduced neural connectivity — and can be predicted from EEG with ~80% accuracy using machine learning.