Covariance spectrum

…It was previously proposed to use the covariance eigenvalue distribution, or spectrum, which can be analytically derived in random recurrent networks, as a robust measure for describe the shape of neural population activity beyond the dimension (Hu \& Sompolinsky 2022). Applications of the theoretical spectrum have bro

…motifs, on the bulk and outlier covariance eigenvalues. By considering linear

…component dimensions described by the covariance spectrum. Intriguingly, this spectrum shows an invariance to spatial subsampling. That is, the distribution of eigenvalues of a smaller and randomly sampled cell as