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Found 2 papers, 1 papers with code
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA
A multitude of ICA algorithms for EEG decomposition exist, and in the past, their relative effectiveness has been studied.
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm
Independent component analysis (ICA), is a blind source separation method that is becoming increasingly used to separate brain and non-brain related activities in electroencephalographic (EEG) and other electrophysiological recordings.
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