Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data
Fig 5
LocaNMF can capture long range correlations that are difficult to analyze via SVD.
Top left: example de-localized spatial component recovered by SVD. This component places significant weight on multiple widely-separated brain regions. The corresponding temporal component is shown in the lower left panel. In the same dataset, two separate components are recovered by LocaNMF, capturing activity in each of the two distant brain regions activity (top middle and right panels). LocaNMF recovers two separate time courses here (lower right), allowing us to quantify the correlation between the regions (R = 0.79).