Eric Grießbach

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!

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.

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.

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.

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.

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

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...