Statistical Agnostic Mapping
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A framework based on SLT that provides similar activation maps than the ones obtained by the voxel-wise SPM, but defined on ROIs, under a rigorous development in scenarios with a small sample/dimension ratio and large, small and trivial effect sizes.
Cite As
Gorriz, J. M., et al. “Statistical Agnostic Mapping: A Framework in Neuroimaging Based on Concentration Inequalities.” Information Fusion, vol. 66, Elsevier BV, Feb. 2021, pp. 198–212, doi:10.1016/j.inffus.2020.09.008.
General Information
- Version 1.0 (129 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
