Luke E. Hallum

This paper decodes emotion from EEG during overt and imagined vocalisation, finding that involuntary facial muscle activity contaminates EEG and contributes to emotion decoding.

This study investigates how acoustic features of emotional vocalizations influence early ERP components, finding that intensity and pitch explain ERP modulations in response to different emotions.

The paper measures interocular suppression in visually normal humans using EEG, finding it is balanced, orientation-tuned, and reduced for orthogonal gratings.

This paper develops an explainable CNN to detect sleep apnea from single-channel EEG with 76.7% accuracy and 0.54 MCC, showing it learns delta and beta band biomarkers.

The paper examines laminar differences in V1 and V2 responses to naturalistic textures, finding stronger sensitivity in V2 and feedback-driven activity in V1.