3 papers
eess.SP2024
Automatic EEG Independent Component Classification Using ICLabel in Python
Arnaud Delorme, Dung Truong, Luca Pion-Tonachini +1
ICLabel is an important plug-in function in EEGLAB, the most widely used software for EEG data processing. A powerful approach to automated processing of EEG data involves decompos…
eess.SP2023
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA
Gwenevere Frank, Seyed Yahya Shirazi, Jason Palmer +3
EEG continues to find a multitude of uses in both neuroscience research and medical practice, and independent component analysis (ICA) continues to be an important tool for analyzi…
cs.LG2023
Deep learning applied to EEG data with different montages using spatial attention
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
The ability of Deep Learning to process and extract relevant information in complex brain dynamics from raw EEG data has been demonstrated in various recent works. Deep learning mo…