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Eric Grießbach

@ericgriessbach.bsky.social

7 days to learn a motor skill—how do you train? Postdoc @ Champalimaud | Motor learning researcher | Bridging basic & applied science

Posts Replies Media

Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

Huge thanks to my coauthors Adrian Haith & Rouwen Cañal-Bruland 🙏 And to Alfredo Hernandez for further developing the interactive citation graph that visualizes the separation in motor learning research!

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

4. Culture Basic & applied motor learning often live in different worlds: 🔹 different labs 🔹 different conferences 🔹 different departments These separations might limit exchange. Joint projects, workshops & interdisciplinary training could help bring the fields together.

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

3. Tasks Lab tasks: controlled & mechanistic ✅ Applied tasks: complex & ecological ✅ Why not combine them? A systematic battery of tasks, from reductionist to real-world, could link understanding with skill learning.

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

2. Frameworks Basic research = computational models 🧮 Applied research = conceptual frameworks 📚 Both have blind spots, but connecting them could give us precise, testable, AND ecologically valid theories of motor learning.

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

1. Common Topics Basic & applied motor learning often ask similar questions, e.g., about implicit/explicit learning, generalization, or variability. But they rarely cite each other 🤯 Exploring these common topics is a first step to bridging the gap.

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

📊 Citation map: alfredohernandezinostroza.github.io/CitationMap/ 💻 Data & code: github.com/alfredoherna...

alfredohernandezinostroza.github.io

Graph Visualization

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Eric Grießbach @ericgriessbach.bsky.social · 12/09/2025

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...

osf.io

OSF

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