Gregory A. Ciccarelli

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.

This paper reviews speech motor control models, comparing their architectures and properties, highlighting differences in control mechanisms and commonalities in higher-level planning and feedback use.