Teaching Computational Reproducibility for Neuroimaging
We describe a project-based introduction to reproducible and collaborative neuroimaging analysis. Traditional teaching on neuroimaging usually consists of a series of lectures that emphasize the big picture rather than the foundations on which the techniques are based. The lectures are often paired...
Main Authors: | K. Jarrod Millman, Matthew Brett, Ross Barnowski, Jean-Baptiste Poline |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-10-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2018.00727/full |
Similar Items
-
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
by: David N. Kennedy, et al.
Published: (2019-02-01) -
Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality Assurance
by: Mary K. Askren, et al.
Published: (2016-02-01) -
Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?
by: Tara M. Madhyastha, et al.
Published: (2017-11-01) -
Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud
by: Benoit eDa Mota, et al.
Published: (2014-04-01) -
Reframing the reproducibility crisis: using an error-statistical account to inform the interpretation of replication results in psychological research
by: Parker, Caitlin Grace
Published: (2015)