H. Dantas

Recording and Decoding for Neural Prostheses

David J. Warren, Spencer Kellis, Jacob G. Nieveen, 2016, Proceedings of the IEEE.

Shared Prosthetic Control Based on Multiple Movement Intent Decoders

David J. Warren, V. J. Mathews, V John Mathews, 2020, IEEE Transactions on Biomedical Engineering.

Semi-Supervised Adaptive Learning for Decoding Movement Intent from Electromyograms

V. J. Mathews, V John Mathews, D. J. Warren, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control

V. J. Mathews, V John Mathews, David J Warren, 2019, IEEE Transactions on Biomedical Engineering.

Neural decoding using a nonlinear generative model for brain-computer interface

Spencer Kellis, V. John Mathews, Bradley Greger, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Shared Human-Machine Control for Self-Aware Prostheses

Xiao Fu, V. John Mathews, David J. Warren, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Brain-machine interface using nonlinear Kalman filters and channel selection

Henrique Cunha Dantas, H. Dantas, 2015 .

Neural decoding systems using Markov Decision Processes

V. John Mathews, David J. Warren, Gregory A. Clark, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).