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University of Edinburgh, UK
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Schedule
Thursday, January 7, 2021
6:00 PM Europe/Zurich
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Recording provided by the organiser.
Domain
NeuroscienceHost
NeuroLeman Network
Duration
70 minutes
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.
Cyril Pernet
University of Edinburgh, UK
neuro
neuro
In this talk, I will discuss the OpenNeuro Fitlins GLM package and provide an illustration of the analytic workflow. OpenNeuro FitLins GLM is a semi-automated pipeline that reduces barriers to analyzi
neuro
Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision.