Updated 25 Aug 2016
This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data," Neuron, 63:747 (2009): http://tinyurl.com/cellsort
Eran Mukamel (2023). emukamel/CellSort (https://github.com/mukamel-lab/CellSort), GitHub. Retrieved .
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June 2016: Fixed an inconsistency in CellsortPCA between create_tcov and
Fixed a bug affecting performance in recent versions of MATLAB.
Fixed a minor typo in documentation for CellsortICA - EAM 11/24/09