Reproducibility and rigor in computational neuroscience: testing the data driven model
INCF
Oct, 2018
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Sharon Crook, Arizona State University, present a flexible infrastructure for validation of models in neuroscience with the goal of integrating experimental data with modeling efforts for greater efficiency, transparency, and impact of computational models.
Tools and standards to make neuroimaging derived data reusable
INCF
Oct, 2018
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This talk will discuss recent initiatives to represent and share neuroimaging metadata and how these can help us leverage heterogeneous datasets. 1 of 2 talks: Brain imaging standards and best practices.
Towards a robust data organization scheme for neuroimaging: the Brain Imaging Data Structure
INCF
Oct, 2018
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This talk will describe data sharing efforts via the OpenfMRI and OpenNeuro projects, and how those efforts have been supported by the development of a community standard for data organization: The Brain Imaging Data Structure (BIDS) standard. 1 of 2 talks: Brain imaging standards and best practices.