Modeling motor control typically requires stitching together multiple neural and biomechanical modeling frameworks.
So, we created MotorNet — a toolbox to study neural architectures/learning, muscle dynamics, delays, noise, and tasks, all under one roof!
MotorNet is an open-source python toolbox built on Tensorflow that makes training neural networks to control realistic biomechanical models fast and accessible to non-experts, enabling teams to focus on concepts and ideas over implementation.
https://oliviercodol.github.io/MotorNet/build/html/index.html
To get started quickly — do a 'pip install motornet', check out the many tutorials included in the repo, or even open a tutorial directly in a colab notebook with a single click
https://oliviercodol.github.io/MotorNet/build/html/tutorials/train-net.html
Thanks to all our fantastic contributors and mentors who supported this work at every stage!
Olivier Codol is the first author (not on mastodon), and thanks to Mehrdad Kashefi, @andpru and @paulgribble