Finally, MotorNet provides a framework that can easily be expanded to more complex control scenarios. The only limit is your imagination!
New, complex tasks can be implemented, trained, and visualized quickly, speeding up the research cycle and providing tools that can be used by other researchers in the community
In the preprint, we lay out the structure of the toolbox, show a few examples of some classic motor control tasks, and replications of some of our favourite modeling work
How do we move? I study brains and machines at Western University. Incoming Assistant Professor at York University (July, 2024). Full-time human.