brainhack-zh

View the Project on GitHub dynage/brainhack-zh

Videos

Videos of the talks and tutorials can be found here.

Material for the talks and tutorials (will be updated continously)

What is Brainhack

[slides]

An Introduction to Python for Scientific Programming

[material]

Tutorials can be run via https://brainhack.cloud.s3it.uzh.ch (only requires a modern web browser – must support web sockets; any recent version of Firefox or Google Chrome will do; Safari is not guaranteed to work). Login details will be provided during the tutorial.

Science Cloud Introduction

[slides]

Software virtualization

Part 1: NeuroDebian - a computing platform for neuro- (and open) science

[slides]

Part 2: BIDS Apps and BIDS Apps on the Science Cloud

[slides]

Automagic EEG toolbox

[example data]

[Automagic slides]

[microstate script] [microstate slides]

EEGMicrostates_slides.pdf

Requires installing Matlab, Automagic, Microstate EEGlab toolbox.

Visualization

Part 1: sweetView. a simple, quick, and powerful viewer for MRI images and SPM results

Visualization Part 2: Plotting brain images with Nilearn

The tutorial will be provided as IPython notebook. It can be run locally (which requires installing IPython and Nilearn - I recommend doing this via the anaconda distribution) or simpler and without installing anything in your browser.

Nipype Tutorial – How to analyze your MRI data in an easy and flexible way

Requires Docker (free and without registration).

material and instructions

The notebooks for this tutorial are from the Nipype Tutorial. You can check out all the notebooks online on this homepage, if you don’t want to download and run the whole docker image yourself.

Dynamic functional connectivity for dummies

[slides] [instructions] [solutions]

Requires Matlab

Brainhack Global 2017 Video Content

A list of video content from other Brainhack Global sites can be found here.