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Implements the Demixed PCA described in Kobak, D., Brendel, W., Constantinidis, C., & Feierstein, C. E. (2016). Demixed principal component analysis of neural population data. eLife. http://doi.org/10.7554/eLife.10989.001

Basically, the Demixed PCA algorithm projects data onto a lower dimensional space that best represents specified external variables.

First Commit

01/23/2017

Last Touched

about 2 years ago

Commits

16 commits

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