https://github.com/codedby-mozz/song_familiarity_eeg
Independent EEG analysis of neural responses to familiar vs. unfamiliar songs using public data and MNE-Python. A self-driven project focused on EEG preprocessing, ERPs, and auditory familiarity.
https://github.com/codedby-mozz/song_familiarity_eeg
eeg-analysis mne-python neuroscience python
Last synced: 8 months ago
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Independent EEG analysis of neural responses to familiar vs. unfamiliar songs using public data and MNE-Python. A self-driven project focused on EEG preprocessing, ERPs, and auditory familiarity.
- Host: GitHub
- URL: https://github.com/codedby-mozz/song_familiarity_eeg
- Owner: codedby-mozz
- License: mit
- Created: 2025-05-20T10:56:12.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-06-10T11:11:04.000Z (8 months ago)
- Last Synced: 2025-06-10T12:24:55.527Z (8 months ago)
- Topics: eeg-analysis, mne-python, neuroscience, python
- Language: Jupyter Notebook
- Homepage:
- Size: 10.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE