New preprint! How do people discover an effective strategy when the environment shifts—say, when adapting to an unfamiliar trackpad? Our take: strategic motor adaptation isn’t gradual error reduction but rather a process of hypothesis testing. https://t.co/7WKbNwSRXu🧵

The Future of gaming is awesome. No extra hardware required, you just need a normal pc and a camera to have a totally immersive experience. > mediapipe is going to be the next big thing

basketball AI YouTube tutorial is finally live over 1000 hours of work compressed into 37 minutes link below; like and comments please

Just sharing how I failed as a reviewer.

Welcoming any and all feedback!

To close, we’re especially excited about this work because this hypothesis testing perspective bridges motor learning—often cast as implicit and automatic—with core ideas from across psychology, including problem solving, intuitive physics, and concept learning.

On the individual level, the efficiency–flexibility trade-off reflects a continuous shift in the mixture of strategies each learner deploys. To uncover this, @WeiDing_Teresa and Anjuli developed a suite of analyses that we hope will be useful to anyone studying learning!

...when the hypothesis space is constrained, learners acquire strategies more slowly but generalize well to novel targets. When it is unconstrained, learners can quickly latch onto an expedient hypothesis—yet these strategies often fail to generalize.

To stress-test this idea, our two experiments also evaluated and revealed pattern of behavior uniquely predicted by the hypothesis testing framework: an efficiency–flexibility trade-off. Specifically, ...

Inspired by individual learning data, we propose a new framework for strategic adaptation: hypothesis testing. Learners generate hypotheses (e.g., rotation, translation, reflection), test them against feedback, and iteratively refine both their actions and their hypotheses.

However, across our two large-scale online experiments (N = 560), our data tell a very different story! Individual learners engage in rich, exploratory behavior that is anything but gradual—and show variability that is anything but minimal.

For decades, the dominant view has been that strategic adaptation follows a gradual process of error reduction. Averaged data appear to support this, showing learners slowly adjusting to a changed visuomotor mapping (e.g., a rotation between hand movement and cursor position)

Nature Reviews Neuroscience Music in the brain https://t.co/oMfSSJO2gb

We have a great group of speakers lined up for our @YorkU_CIAN / @OfficialCSBBCS satellite symposium on 'Cognition and Action', June 4,5 '26 in Toronto. Calls for poster abstracts coming soon. https://t.co/7QXb2IReKO

Nature Vicarious body maps bridge vision and touch in the human brain https://t.co/MZihO1pAID

Building compositional tasks with shared neural subspaces One of the big open questions in cognitive neuroscience is how the brain pulls off the kind of flexible, compositional behaviour that modern AI systems are still struggling to match. We know animals can recombine simple

What does it mean to understand language? We argue that the brain’s core language system is limited, and that *deeply* understanding language requires EXPORTING information to other brain regions. w/ @neuranna @ev_fedorenko @Nancy_Kanwisher https://t.co/6vvRGpkgE6 1/n🧵👇

New paper from the lab, "Perceiving Event Structure in Brief Actions," now out in Cognitive Psychology :) Led by the inimitable Zekun Sun This was my lab's first foray into event cognition gift link: https://t.co/KNPSxBEEUd

This topic probably flies under the radar for most neuroscientists, but this paper is a big deal https://t.co/d8Md9jCqrz

I think almost all scientific projects should be planned carefully. And I think an app can dramatically improve that. So I wrote an app for that (free for now, if you can fund this let me know). I tested it quite a bit (>8000 users in beta so far).