Supplementary Material for " Identifying signal and noise structure in neural population activity with Gaussian process factor models "

The P-GPFA latent space and the signal subspace of SNP-GPFA We show here that the signal subspace in the SNP-GPFA model looks nearly identical to standard P-GPFA run on trial-averaged data. This is shown for the same data analyzed in Figure 5 in the main text. The signal latent dimensionality is 5 for the SNP-GPFA model, and the latent dimensionality is 5 for the P-GFPA model. We show the first 3 PCs for clarity. This nearly identical pattern in the subspaces suggests that the SNP-GPFA model is an extension of the P-GPFA model on trial averaged data, providing the same signal subspace as well as additional information about the noise subspace (see Figure 5 in main text for more info).