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.
Cita come
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.
Informazioni generali
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0.1 | -update description |
||
| 1.0.0 |
