Skip to content

Fingerprinting-based analysis of rsfMRI data and other joyful tasks for brainhack noobs

Notifications You must be signed in to change notification settings

kevinkadak/BHTO19_rsfMRIFingerPrinting

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

32 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

BHTO19 rsfMRIFingerPrinting

This repo is a special offering for BHTO2019 newbies.

It is designed to be relatively self-contained, self-explanatory, and catering to all ability levels.

Getting started

Here are the things you will need to do to get going with contributions on this project.

More details on each step are listed below.

  1. If you don't have one, get a github account.

  2. Fork this repo

  3. Make a local clone your fork

  4. Choose a task to work on from the issues list

  5. Hack!

  6. Contribute your wonderful contributions back to this repo

  7. Return to 4.

Your first task will be to add your name to the contributors list

Recommendation: repeat with a few small, unambitious changes (e.g. to documentation files) to get the hang of the contributor workflow.

For more info on github usage, read these instructions

fMRI Fingerprinting

An overview of the project goals and background is given in the basic_fingerprinting.ipynb notebook in the basic_fingerprinting_analysis folder of this repo.

The to-do items from that notebook have been laid out in the issues page for this folder. Use this also as a Q & A + discussion forum for the project(s).

fMRI FC Gradients Variability Projects

For more advanced hacktivities, you can also check out our other [https://github.com/JohnGriffiths/BHTO19_GradientsVariability](other brainhack project) on individual variability in fMRI functional connectivity 'gradients'.

About

Fingerprinting-based analysis of rsfMRI data and other joyful tasks for brainhack noobs

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%