EEGLabeler: A Novel Machine Learning-Based System for Automated EEG,Component Labeling Abstract Blind source separation (BSS)-based hybrid algorithms are useful for separating distinct neural sources or artifacts that are mixed in electroencephalography (EEG). However, the recovered com... EEG Neuroscience Preprint eego mylab Jan 1, 2025 Publication
EEG μ and ß rhythms scaled from action observation to real-world social interaction: Evidence from a four-tier scalable design study Abstract Traditional human neuroscience solely relies on controlled laboratory paradigms, which, while useful, fail to capture the situatedness, sociality, complexity, and richness of real-world inter... Cognitive Research EEG Hyperscanning Mobile EEG Neuroscience Preprint eego sports Jan 1, 2025 Publication
Enhancing Subject-Independent P300 Classification in RSVP-Based BCIs with Deep Learning Abstract Abstract—Brain-computer interfaces offer transformative po- tential across a variety of fields, such as assistive technologies and neurorehabilitation. Traditional machine learning methods fo... Brain-Computer Interface (BCI) EEG Neurorehabilitation Preprint eego rt Jan 1, 2025 Publication