Andrew Garrett Kurbis

This paper develops an EMG foundation model for neural decoding that outperforms subject-optimized models in both in-distribution and out-of-distribution evaluations.

The paper compares static and sequential image classification of walking environments using temporal neural networks, finding that 3D models outperform 2D ones but have higher computational demands.