AutocleanEEG ICVision: Automated ICA Artifact Classification Using Vision-Language AI

This article introduces AutocleanEEG ICVision, a system that leverages vision-language AI for automated classification of artifacts in Independent Component Analysis (ICA) of EEG data. The use of vision-language models suggests an innovative approach to EEG data processing, potentially improving the efficiency and accuracy of artifact removal. The source being ArXiv indicates this is a research paper, likely detailing the methodology, results, and implications of this new system.