1 code implementation • 16 Oct 2023 • Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
Here, we explore using spatial attention applied to EEG electrode coordinates to perform channel harmonization of raw EEG data, allowing us to train deep learning on EEG data using different montages.
no code implementations • 4 Oct 2023 • Tal Pal Attia, Kay Robbins, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Pedro Valdes-Sosa, Dung Truong, Greg Worrell, Scott Makeig, Dora Hermes
We demonstrate the use of the HED-SCORE library schema to annotate events in example EEG data stored in Brain Imaging Data Structure (BIDS) format.
no code implementations • 4 Mar 2022 • Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael Milham, Arnaud Delorme
Deep Learning has revolutionized various fields, including Computer Vision, Natural Language Processing, as well as Biomedical research.
no code implementations • 4 Mar 2022 • Arnaud Delorme, Dung Truong, Choonhan Youn, Subha Sivagnanam, Kenneth Yoshimoto, Russell A. Poldrack, Amit Majumdar, Scott Makeig
To take advantage of recent and ongoing advances in large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archives must be created as well as standards for specifying, identifying, and annotating deposited data.
no code implementations • 8 Nov 2021 • Dung Truong, Scott Makeig, Arnaud Delorme
We applied these methods to a high-performing Deep Learning model with state-of-the-art performance for an EEG sex classification task, and show that the model features a difference in the theta frequency band.
1 code implementation • 11 May 2021 • Dung Truong, Michael Milham, Scott Makeig, Arnaud Delorme
Interestingly we show that the neural network tailored to process EEG spectral features has increased performance when applied to raw data classification.