This repository holds the code for the MEG portfolio assignment for the Advanced Cognitive Neuroscience course (F2023), which includes preprocessing of MEG data, sanitity checks and decoding of inner speech. We investigate the decoding accuracy of positive and negative inner speech as well as self-chosen and assigned inner speech. Both classification analyses are conducted using data from brain area 1 and brain area 2.
The GitHub repository is organised as follows:
├── data Not included in repo
│ ├── 0108
│ ├── 0109
│ └── ...
├── ICA Not included in repo
│ ├── 0108
│ ├── 0109
│ └── ...
├── preprocessing
│ ├── check_ica.ipynb Notebook for checking ICA components
│ ├── prep_for_classification.py Preprocessing data for classification
│ └── run_ica.py Generate ICA solutions for all subjects and runs
├── sanity_checks Code used for sanity checks and results
├── env_to_ipykernel.sh Let env be used as kernel in jupyter notebook
├── generate_session_info.py Bad channels, tmin, tmax, etc.
├── README.md
├── requirements.txt
├── session_info.txt Session info for all runs
├── setup_env.sh Setup environment
└── utils.py Functions used in multiple scripts
The project was done by study group 8 consisting of:
| Description | Trigger |
|---|---|
| IMG_PS | 11 |
| IMG_PO | 21 |
| IMG_NS | 12 |
| IMG_NO | 22 |
| IMG_BI | 23 |
| button_press | 202 |