Williams, Alex H.
Kim, Tony Hyun
Wang, Forea
Vyas, Saurabh
Ryu, Stephen I.
Shenoy, Krishna V.
Schnitzer, Mark
Kolda, Tamara G.
Ganguli, Surya
Funding for this research was provided by:
Department of Energy Computational Science Graduate Fellowship program
Stanford Graduate Fellowship in Science & Engineering
National Science Foundation Graduate Research Fellowship
NIH (1F31NS103409-01)
NSF Graduate Research Fellowship
Ric Weiland Stanford Graduate Fellowship
NIH National Institute of Neurological Disorders and Stroke (NINDS) Transformative Research Award (R01NS076460)
NIH National Institute of Mental Health Grant (NIMH) Transformative Research Award (R01MH09964703)
NIH Director’s Pioneer Award (8DP1HD075623)
Defense Advanced Research Projects Agency (DARPA) Biological Technology Office (BTO) (N66001-10-C-2010)
DARPA BTO “NeuroFAST” award (W911NF-14-2-0013)
Simons Foundation Collaboration on the Global Brain awards (325380, 543045)
Howard Hughes Medical Institute
NIH (1R21NS104833-01)
National Science Foundation (1707261)
Howard Hughes Medical Institute
U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Applied Mathematics program (DE-NA-0003525)
Burroughs Wellcome Foundation
McKnight Foundation
James S. McDonnell Foundation
Simons Foundation
Office of Naval Research
This article is maintained by: Elsevier
Article Title: Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis
Journal Title: Neuron
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.neuron.2018.05.015
Content Type: article
Copyright: © 2018 Elsevier Inc.