visionlab-EEG-workshop

These are the materials and resources for Vision Lab EEG workshop on Sep 25th, 2019.

Workshop Outline

Part 1: Lecture

• EEG basics and glossary (Dan)
• EEG Decoding (Ruosi)

Part 2: MNE Tutorial Demo

• ERP Tutorial (Aylin)
• Decoding/MVPA Tutorial (Ruosi)

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Install MNE

You can follow either the MNE official installation guide or the following steps.

Install MNE-Python and its dependencies in a virtual environment

curl --remote-name https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml
conda env create --name mne python=3.6.8 -f environment.yml

Test MNE-Python Installation

conda activate mne
python -c 'import mne; mne.sys_info()'`

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Resources

Decoding Toolboxes

Python

• MNE (for M/EEG): website
• PyMVPA (for both fMRI, and M/EEG): website

MATLAB

• Amsterdam Decoding and Modeling Toolbox (ADAM): github, paper
• Neural Decoding Toolbox: website
• CosMoMVPA: website

Tutorials & Workshops

• A collection of MNE workshops: github
• A comprehensive Group analysis demo MNE: github, website, paper
• Luck Lab ERP bootcamp: website

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Review Papers

• Carlson, T. A., Grootswagers, T., & Robinson, A. K. (2019). An introduction to time-resolved decoding analysis for M/EEG. arXiv preprint arXiv:1905.04820.
• Grootswagers, T., Wardle, S. G., & Carlson, T. A. (2017). Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time series neuroimaging data. Journal of cognitive neuroscience, 29(4), 677-697.
• Guggenmos, M., Sterzer, P., & Cichy, R. M. (2018). Multivariate pattern analysis for MEG: A comparison of dissimilarity measures. NeuroImage, 173, 434-447.