Neural information was measured by the percentage of explained variance, PEV.
Task variables relationship was measured by fractional variable variance, FVV.
The shared variance between different subspaces captured by principal component analysis (PCA) was measured by cross-project variance by each PCs.
The following work inspired these analyses: 
        Yang, G. R., Joglekar, M. R., Song, H. F., Newsome, W. T., & Wang, X. J. (2019). Task representations in neural networks trained to perform many cognitive tasks. Nat Neurosci, 22(2), 297-306. https://doi.org/10.1038/s41593-018-0310-2 
         Buschman, T. J., Siegel, M., Roy, J. E., & Miller, E. K. (2011). Neural substrates of cognitive capacity limitations. Proc Natl Acad Sci U S A, 108(27), 11252-11255. https://doi.org/10.1073/pnas.1104666108 
         Elsayed, G. F., Lara, A. H., Kaufman, M. T., Churchland, M. M., & Cunningham, J. P. (2016). Reorganization between preparatory and movement population responses in motor cortex. Nat Commun, 7, 13239. https://doi.org/10.1038/ncomms13239