Christopher J. Smalt

This paper develops a neurofeedback system using EEG to improve auditory attention in multi-talker environments by attenuating unattended talkers based on real-time attention decoding.

This paper evaluates an EEG-based attention decoder to detect attention switching and measures listening effort using EEG and pupillometry, finding significant differences in alpha power and pupil diameter during attentional switches.

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.