Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models

NeurIPS 2019 Ruoxi SunIan KinsellaScott LindermanLiam Paninski

Recent advances in optical voltage sensors have brought us closer to a critical goal in cellular neuroscience: imaging the full spatiotemporal voltage on a dendritic tree. However, current sensors and imaging approaches still face significant limitations in SNR and sampling frequency; therefore statistical denoising and interpolation methods remain critical for understanding single-trial spatiotemporal dendritic voltage dynamics... (read more)

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