3 accepted papers
Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial sampling (more channels or pixels) and the temporal frequency of sampling. Here we demonstrate that it is possible to obt…
In this work we pose the parameter estimation of the Poisson-Gaussian noise model as a parametric model estimation problem. We first take patches from the image/video to analyze and treat variance stabilization transforms, e.g., the classical Generalized Anscombe transform, as a parametric model, wh…
Optical imaging methods using calcium indicators are critical for monitoring the activity of large neuronal populations in vivo. Imaging experiments typically generate a large amount of data that needs to be processed to extract the activity of the imaged neuronal sources. While deriving such proces…