Welcome to the
Online Brain Intensive
The Online Brain Intensive is an online course aimed at preparing students to participate in their first Brainhack. Through this course students will learn to use openly available online tools to gain a foundation of technical knowledge for neuroimaging and computational neuroscience, with a strong focus on reproducibility and version control. This course is free, fully online and open to anyone who wants to participate.
week
one
The what, why and how of Brainhacks
August 28 - September 1
Project: Run Docker pulled from git that runs Jupyter notebook with analysis, and modify a classifier
Takeaway: Students should understand how to do basic reproducible science
Introduction
to Brainhacks
Cameron Craddock,
child mind institute
Estimated Time to Complete:
40 Minute Lecture
Estimated Time to Complete:
35 Minute Lecture
​
Reproducibility
in brain science
kirstie whitaker,
cambridge univeristy
Estimated Time to Complete:
30 Minute
30 Minute Set-up
Brainhack101 refers to:
Brainhack
101
greg kiar,
mcgill university
Estimated Time to Complete:
35 Minute Lecture
​
Learning through
data mining on
open data sets
emily finn,
National Institutes
of health
efficiency in fMRI: increasing power for a fixed sample size
jeanette mumford,
university of
Wisconsin-Madison
​
Estimated Time to Complete:
40 Minute Lecture
30 Minute Tutorial
​
​
Estimated Time to Complete:
40 Minute Lecture
​
how not to
fool yourself
with
statistics
regina nuzzo,
gallaudet university
Estimated Time to Complete:
15 Minute Lecture
​
data
visualization
as exploratory
analysis
greg kiar,
mcgill university
Estimated Time to Complete:
15 Minutes Lecture
​
T
TBD