Stephanie Haro

This study shows that speech motor cortex encodes sentence-level linguistic structure and semantic content through single-unit activity in three BrainGate2 participants.

This paper decodes intended speech from a person with anarthria and locked-in syndrome using an intracortical brain-computer interface, showing that phonemes, words, and higher-order language units can be decoded above chance.

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.

The paper develops a computational model of biosonar signal processing in bats and dolphins to replicate their target tracking and clutter rejection capabilities.

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.