A Population-Level Analysis of Neural Dynamics in Robust Legged Robots

no code implementations • 27 Jun 2023 • Eugene R. Rush, Christoffer Heckman, Kaushik Jayaram, J. Sean Humbert

Recurrent neural network-based reinforcement learning systems are capable of complex motor control tasks such as locomotion and manipulation, however, much of their underlying mechanisms still remain difficult to interpret.

From Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning

no code implementations • 18 May 2023 • Eugene R. Rush, Kaushik Jayaram, J. Sean Humbert

In motor neuroscience, artificial recurrent neural networks models often complement animal studies.