Notes for Methods for fMRI (PSY 394U), Fall 2019.
Original documents are in Jupyter notebook format. You can view files (on your browser) via links provided below (rendered via NBViewer). To run codes in these Jupyter documents, I highly recommend cloning this repository.
- Introduction, programming tools, Python basics (9/9)
- Handling data with Python (9/16)
- NIfTI & BIDS, motion correction (9/23)
- Spatial normalization (9/30)
- fMRIPrep (10/7)
- First-level analysis (10/14)
- Second and higher level analyses (10/21 - 10/28)
- Multiple comparison correction (11/4)
- Machine learning introduction (11/11)
- Decoding fMRI signals (11/18)
- Searchlight (11/25)