A Matlab utility for plotting correlation matrices, with similar appearance to Seaborn in Python.
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A Matlab utility for plotting correlation matrices, with similar appearance to Seaborn in Python.
I created this function to allow flexible, customizable plotting of correlation matrices for brain functional connectivity data. However, it works for plotting any correlation matrix or grid data. If desired, it is capable of computing correlation matrices directly from fMRI images, and can even complete simple preprocessing like detrending and bandpass filtering. The plot_corrmat.m help section contains documentation for all input parameters, as well as many helpful hints.
Please see Layden et al. (2019), Figure 2a for an example use case (https://www.sciencedirect.com/science/article/abs/pii/S1053811919302642). Or navigate to the linked Github page for examples.
Cite As
Layden, E. A., Schertz, K. E., London, S. E., & Berman, M. G. (2019). Interhemispheric functional connectivity in the zebra finch brain, absent the corpus callosum in normal ontogeny. NeuroImage, 195, 113-127.
General Information
- Version 1.0.1 (585 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | -update description |
||
| 1.0.0 |
