Michael A. Nolan

This paper introduces RAE and MRAE models for broadband ECoG signal reconstruction, showing MRAE improves accuracy over RAE by overcoming time-bandwidth limitations.

This study compares two-talker attention decoding from EEG using nonlinear neural networks and linear methods, finding that a new architecture outperforms baselines and that wet and dry EEG systems yield comparable results.