A detailed investigation of Shared Variance Component Analysis as a tool to characterize neural dimensionality
Alejandro Carballosa, Alessandro Torcini
The paper investigates SVCA and PCA to determine reliable neural dimensionality, finding that reliable dimensionality saturates with increasing neuron count and decreases with higher correlation.
Journal of Neuroscience Methods · Jun 18, 2026Peer-reviewedNeuroscience