Reproducible EEG from raw data to publication figures
Neuro-Informatics, Data Engineering, Electrophysiology and seminar by Cyril Pernet, University of Edinburgh, UK
Hosted by NeuroLeman Network
Thursday 18:00–19:10 Zurich (GMT+1)
Recording available
Abstract
In this talk I will present recent developments in data sharing, organization, and analyses that allow to build fully reproducible workflows. First, I will present the Brain Imaging Data structure and discuss how this allows to build workflows, showing some new tools to read/import/create studies from EEG data structured that way. Second, I will present several newly developed tools for reproducible pre-processing and statistical analyses. Although it does take some extra effort, I will argue that it largely feasible to make most EEG data analysis fully reproducible.
Topics
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