Balancing Memorization and Generalization in RNNsfor High Performance Brain-Machine Interfaces
J. T. Costello, H. Temmar, L. H. Cubillos, M. J. Mender, D. M. Wallace, M. S. Willsey, P. G. Patil, C. A. Chestek
This study compares RNNs to other neural networks in real-time decoding of finger movements from nonhuman primate neural signals, finding LSTMs outperform convolutional and transformer-based models.
bioRxiv · May 28, 2023 · PreprintBioengineering