https://github.com/kaczmarj/eeg-analysis
EEG analysis with open-source software (MNE)
https://github.com/kaczmarj/eeg-analysis
Last synced: 2 months ago
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EEG analysis with open-source software (MNE)
- Host: GitHub
- URL: https://github.com/kaczmarj/eeg-analysis
- Owner: kaczmarj
- Created: 2016-11-09T19:44:31.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-01-27T18:47:56.000Z (over 8 years ago)
- Last Synced: 2025-02-10T03:22:16.747Z (4 months ago)
- Language: Python
- Homepage:
- Size: 251 KB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# eeg-analysis-workflows
Benefits of MNE-Python
----------------------
- Script-based analysis enhances reproducibility by allowing researchers to share their exact analytic workflow. (This is relevant for mne.Annotations, see below)
Notes to self
-------------
Making annotations in MNE-Python looks tedious (you have to specify the onset and duration of unwanted portions of data). But this might be a benefit. If you specify the onsets and durations in a separate text file, you can share that file with other researchers, so they know exactly what you did to your data. This helps reproducibility and peer review. It would not be hard to import this text file to automatically create the annotations.