Beyond averaging: A transformer approach to decoding event related brain potentials
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural si...
Saved in:
Main Authors: | Philipp Zelger, Manuel Arnold, Sonja Rossi, Josef Seebacher, Franz Muigg, Simone Graf, Antonio Rodríguez-Sánchez |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925000515 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges
by: Sutirtha Ghosh, et al.
Published: (2025-02-01) -
EEG as a neural measure of hypoxia-related impairment
by: Stephanie R. Otto, et al.
Published: (2025-02-01) -
Neural Correlates of Social Perception Deficit in Schizophrenia: An Event-related Potential Study
by: Jiang-juan Li, et al.
Published: (2025-01-01) -
The Detection Rate of Associated Mg ii Absorption Lines in Quasars Depends on Their Radio Emission
by: Zhi-Fu Chen, et al.
Published: (2025-01-01) -
Time Course of Brain Activity Changes Related to Number (Quantity) Processing Triggered by Digits Versus Number Words: An Event-Related Potential (ERP) Study
by: Peter Walla, et al.
Published: (2025-01-01)