Postdoc @ Champalimaud | Motor learning researcher | Bridging basic & applied science
And to Alfredo Hernandez for further developing the interactive citation graph that visualizes the separation in motor learning research!
And to Alfredo Hernandez for further developing the interactive citation graph that visualizes the separation in motor learning research!
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.
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.
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.
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.
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.
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.
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.
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.
💻 Data & code: github.com/alfredoherna...
💻 Data & code: github.com/alfredoherna...