March 23, 2026IEEE Transactions on Biomedical Engineering0 citations
View Full PaperAutomated spatiotemporal response identification and separation for averaged and single-trial EEG and MEG data
Key Points
- This research aims to enhance the extraction of neural responses from averaged and single-trial EEG and MEG data.
- Developed an automated tool named SEREN for neural response extraction.
- Applied the tool to both averaged and single-trial EEG and MEG datasets.
- Analyzed the precision of neural dynamics identification.
- SEREN significantly improves the precision of neural response extraction.
- Enhanced analysis methods lead to better validation for research and clinical applications.
Abstract
By improving the precision of neural response extraction, SEREN provides a powerful tool for advancing the analysis of neural dynamics and improving the validity of research and clinical applications.
Cite This Study
Ahola et al. (Thu,) studied this question.