Automated spatiotemporal response identification and separation for averaged and single-trial EEG and MEG data | Synapse
March 23, 2026
Automated 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.