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The purpose of this lesson is to teach users about the benefits of EEG preprocessing pipelines, the inputs, procedures, and outputs of the [BIDS Lossless pipeline][bids_lossless_eeg], as well as how to submit pipeline jobs to a remote cluster. In this lesson, we will be using the Batch Context plugin for EEGLAB to run a batch of EEG data files in parallel through the Lossless pipeline by submitting jobs to Compute Canada's Graham cluster. The same procedure should work for any other HPC using a slurm scheduler.

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Prerequisites

• MATLAB
• All of the previous BIDS and BIDS EEG lessons
• Familiarity with EEGLAB and the Batch Context plugin
• A notion of statistical approaches to EEG
• Bash usage for scp/rsync/ssh {: .prereq}

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