Paul Michael Corballis

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 paper introduces an adversarial method to evaluate and compare EEG preprocessing pipelines by using simulated signals as ground truth to assess noise removal effectiveness.

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.

This study examines how working memory load affects neural responses to targets and distractors during visual search, finding impaired distractor processing with increased load.