Yue Du

@yuedu.bsky.social

Assistant Professor @ Texas A&M; Study how we learn motor skills and achieve expertise.

New preprint! tinyurl.com/y6z57dsm 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 a smooth process of error reduction but rather a process of hypothesis testing. 🧵

Hypothesis Testing Governs an Efficiency-Flexibility Trade-off in Strategic Motor Learning

It remains unknown how people discover an effective movement strategy when the environment changes (e.g., when adapting to a new computer trackpad). We propose that strategic adaptation operates throu...

tinyurl.com

JOB ALERT: I am offering a 4-year funded PhD opportunity. The position is specifically linked to the project “Assessing the balance between goal-directed and habitual processing through the course of learning". The project is about learning habits and include eye tracking and pupillometry...

New Pre-Print: www.biorxiv.org/cgi/content/... We’re all familiar with having to practice a new skill to get better at it, but what really happens during practice? The answer, I propose, is reinforcement learning - specifically policy-gradient reinforcement learning. Overview 🧵 below...

Policy-Gradient Reinforcement Learning as a General Theory of Practice-Based Motor Skill Learning

Mastering any new skill requires extensive practice, but the computational principles underlying this learning are not clearly understood. Existing theories of motor learning can explain short-term ad...

biorxiv.org

New pre-print! We attempt to survey the two different universes of motor learning research: basic (meetings like NCM, MLMC) and applied (e.g. NASPSA), and consider what these fields can learn from each other and what the future might look like if they can be better integrated. More in Eric's 🧵 👇

OSF

osf.io

Eric Grießbach@ericgriessbach.bsky.social · 11mo ago

Excited to share our new preprint on bridging basic & applied approaches in motor learning 🧠 Integration of these currently separate traditions could advance the field by connecting complementary perspectives on how humans learn and optimize movement. 📄 Preprint: osf.io/preprints/ps...