Bridging neuronal correlations and dimensionality reduction.

ABSTRACT: Two commonly used approaches to study interactions among neurons are spike count correlation, which describes pairs of neurons, and dimensionality reduction, applied to a population of neurons. Although both approaches have been used to study trial-to-trial neuronal variability correlated among neurons, they are often used in isolation and have not been directly related. We first established concrete mathematical and empirical relationships between pairwise correlation and metrics of population-wide covariability based on dimensionality reduction. Applying these insights to macaque V4 population recordings, we found that the previously reported decrease in mean pairwise correlation associated with attention stemmed from three distinct changes in population-wide covariability. Overall, our

SUBMITTER: Umakantha A 

PROVIDER: S-EPMC8505167 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature