Harrison Ritz

@hritz.bsky.social

cybernetic cognitive control computational cognitive neuroscience Connected Minds Fellow @ Queens + RRI he/him 🇨🇦 harrisonritz.github.io

Clinical 7T gradients can go fast — but peripheral nerve stimulation (PNS) stops you at high-res fMRI. ⚡ Meet POPE 🌍: we reshape EPI pulses to dodge PNS exactly when it spikes → robust 0.3mm fMRI, seeing intracortical veins. 🧠 w/ @SiemensHealth 👉 doi.org/10.64898/202...

Excited to see this line of research continue to grow, from our initial findings in Psych Science to our follow-up work in JEP: LMC. Thanks, Nick, for the great write-up! Check it out if you’re interested in how experience can rapidly reshape attentional control.

Nick Gaspelin@ngaspelin.bsky.social · last wk.

We have recently published work in Psych Science and JEP:LMC showing a surprising relationship between initial capture and learned suppression of salient distractors. Ultimately, this has led us to believe that attentional control is much more flexible than often assumed. Read more on my blog!

Nilearn 0.14.0 is out!!! (well it's been out for a month already but we forgot to tell the world) Some of the new features include: - interactive visualization with niivue - smoothing on surfaces - improved documentation ... More info there: neurostars.org/t/nilearn-0-...

Nilearn 0.14.0 was released!

Hello y’all !!! We have just released Nilearn 0.14.0! 🚀 This is a major release with some new features: Nilearn can leverage scikit-learn’s Array API-supported estimators to speed up neuroimaging ...

neurostars.org

🧠 New preprint! How does the brain build specialized, efficient representations as we grow up? We used manifold learning to track the "intrinsic dimensionality" (ID) of brain activity in ~800 participants (aged 3mo–53yrs), as they performed naturalistic tasks and rested/slept.

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bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2w ago

Developmental tuning of functional manifold dimensionality across the human brain https://www.biorxiv.org/content/10.64898/2026.07.24.740635v1

Excited to participate in a GAC discussion at #CCN2026 on Aug 4th! Is NeuroAI on the right track? What are the most glaring issues? Comment below and help us prepare for our panel discussion! sites.google.com/ccneuro.org/...

CogCompNeuro@cogcompneuro.bsky.social · 2mo ago

#CCN2026 will feature three GAC debates: Does NeuroAI adopt suitable methods & frameworks to understand mind & brain? Do world models emerge in prediction networks? Should neural population activity explain representations or transformations? The review period is now open. 🖥️ 2026.ccneuro.org/gac