TY - JOUR TI - Direct extraction of signal and noise correlations from two-photon calcium imaging of ensemble neuronal activity AU - Rupasinghe, Anuththara AU - Francis, Nikolas AU - Liu, Ji AU - Bowen, Zac AU - Kanold, Patrick O AU - Babadi, Behtash A2 - Bathellier, Brice A2 - Shinn-Cunningham, Barbara G A2 - Bathellier, Brice VL - 10 PY - 2021 DA - 2021/06/28 SP - e68046 C1 - eLife 2021;10:e68046 DO - 10.7554/eLife.68046 UR - https://doi.org/10.7554/eLife.68046 AB - 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-photon fluorescence observations, without requiring intermediate spike deconvolution. We provide theoretical guarantees on the performance of the proposed estimator and demonstrate its utility through applications to simulated and experimentally recorded data from the mouse auditory cortex. KW - two-photon imaging KW - signal and noise correlations KW - bayesian inference KW - point process modeling KW - mouse auditory cortex JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -