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Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping
Institution:1. Neuroscience Program, Stanford University, Stanford, CA 94305, USA;2. Applied Physics Department, Stanford University, Stanford, CA 94305, USA;3. Neurobiology Department, Stanford University, Stanford, CA 94305, USA;4. Electrical Engineering Department, Stanford University, Stanford, CA 94305, USA;5. Bioengineering Department, Stanford University, Stanford, CA 94305, USA;6. Bio-X Program, Stanford University, Stanford, CA 94305, USA;7. Wu Tsai Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA;8. Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA;9. Google Brain, Google Inc., Mountain View, CA 94043, USA;10. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA;11. Center for Brain Science, Harvard University, Cambridge, MA 02138, USA;12. Department of Neurosurgery, Palo Alto Medical Foundation, Palo Alto, CA 94301, USA;13. Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA;14. Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA;15. Center for Neural Science, New York University, New York, NY 10016, USA
Abstract:
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  • Keywords:Population Dynamics  Time Warping  Neural Oscillations  Spike Train Analysis  Unsupervised Learning  Exploratory Data Analysis  Statistics
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