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  1. NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.

    MATLAB 13 2

  2. Python code explaining why Canonical Correlation Analysis (CCA) works in detecting Steady State Visually Evoked Potentials (SSVEP).

    Python 4

  3. The repository contains the EEGLAB plugin to detect and remove EEG bad channels using the Local Outlier Factor (LOF) algorithm. It is a part of the Newborn EEG Artifact Removal (NEAR) pipeline.

    MATLAB 2

  4. MNE-python based MEG bad sensors/channels detection

    Python 1

  5. State-of-the-art traditional methods to detect and remove bad channels in scalp EEG using EEGLAB

    MATLAB 1

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