ANT Neuro GmbH, Sebastian Carstens 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 01.01.2025 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 01.01.2025 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 01.01.2025 Publication