Topic: Activity covariance

Breakthrough in-vivo recording techniques and computational tools allow quantitative characterization of the population geometry from large-scale neural recordings. Activity covariance from such recordings exhibits striking statistical properties, namely a characteristic power law in the eigenspectrum: the decay coefficient of the eigenspectrum α≈1 for mouse and monkey V1 population responses. Concurrently, studies in self-supervised deep neural networks (DNNs) also demonstrate a similar property, i.e., α is close to 1 in their final layers of visual information processing. However, these mod