Direct extraction of signal and noise correlations from two-photon calcium imaging of ensemble neuronal activity.

ABSTRACT: Neuronal activity correlations are key to understanding how populations of neurons collectively encode information. While two-photon calcium imaging has created a unique opportunity to record the activity of large populations of neurons, existing methods for inferring correlations from these data face several challenges. First, the observations of spiking activity produced by two-photon imaging are temporally blurred and noisy. Secondly, even if the spiking data were perfectly recovered via deconvolution, inferring network-level features from binary spiking data is a challenging task due to the non-linear relation of neuronal spiking to endogenous and exogenous inputs. In this work, we propose a methodology to explicitly model and directly estimate signal and noise correlations from two-ph

SUBMITTER: Rupasinghe A 

PROVIDER: S-EPMC8354639 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature