Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience
Emily L. Mackevicius, Andrew H. Bahle, Alex H. Williams, Shijie Gu, Natalia I. Denissenko, Mark S. Goldman, Michale S. Fee
The paper introduces seqNMF, a software toolbox for extracting and analyzing temporal sequences in high-dimensional neural data, showing its effectiveness on simulated and real neural datasets.
eLife · Feb 5, 2019Peer-reviewedNeuroscience