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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
doi: https://doi.org/10.1101/273128
Emily L. Mackevicius
1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, MIT;, UC Davis
Andrew H. Bahle
1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, MIT;, UC Davis
Alex H. Williams
2Stanford Neuroscience Institute;, UC Davis
Shijie Gu
1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, MIT;, UC Davis
3School of Life Sciences and Technology, ShanghaiTech University;, UC Davis
Natalia I. Denissenko
1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, MIT;, UC Davis
Mark S. Goldman
4Center for Neuroscience, Physiology and Behavior, UC Davis
Michale S. Fee
1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, MIT;, UC Davis
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Posted March 02, 2018.
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
bioRxiv 273128; doi: https://doi.org/10.1101/273128
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