EventNMF models event data as Poisson processes with intensities factorized via non-negative B-spline bases to recover shared temporal templates directly from event times.
Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions.Neurocomputing, 416:256–265, November 2020
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Non-Negative Matrix Factorization for Event Data
EventNMF models event data as Poisson processes with intensities factorized via non-negative B-spline bases to recover shared temporal templates directly from event times.