ContextLab / ContextLab/supereeg

validation analyses

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#161 4 comments 0 reactions 2 assignees Claimed by @lucywowen View on GitHub
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Python
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Description

do these separately for synthetic data and real (fMRI) data:
- approximate coverage and "electrode" distribution to match ECoG data (pyFR)
- approximate variability across subjects's models (in synthetic data) to match ECoG (or fMRI) data
- how well can we:
- recover models
- predict electrode timeseries (correlations)
- for fMRI data, what does the map look like (of how well we can reconstruct, by location)

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