Practical information

Where	164 Angell St. floor 4 Innovation Zone (at Brown University)
When	Friday, April 5th 10:30-12:30 Video
	Wednesday, April 17th 12:00-14:00 [Video coming soon …]
	Friday, May 10th 12:00-14:00 [Video coming soon …]
Who	The workshop is aimed at MEG/EEG researchers getting started with analyzing data in MNE-Python.
Why	MNE-Python is an open source software package to analyze, visualize, and explore electro-/magnetoencephalography (M/EEG) data. The package is written in Python which has a growing scientific ecosystem (numpy, scipy, matplotlib, scikit-learn, pandas) and is popular as a clean and versatile language.
Instructor	Mainak Jas

Each day is a 1.5 to 2 hours hands-on introduction to MNE-Python.

Here’s a brief break-down of what’s coming up:

• Day 1: Raw to evoked
• Day 2: Preprocessing
• Day 3: Source Modeling

Registered workshop participants can access pre-installed Python environment by logging into https://ccv.jupyter.brown.edu with their Github accounts.

Buttons

At the top of each notebook, there are two buttons labeled “Download” and “Interact”.

The download button allows you to save it to disk and run it on your computer. The interact button is a link to a mybinder instance, so you can play around with the code in the browser without having to install anything. Note that it may take a while to load – sometimes 4 to 5 minutes.