Inferring single-trial neural population dynamics using sequential auto-encoders

Journal: Nature Methods

Published: 2018-09-17

DOI: 10.1038/s41592-018-0109-9

Affiliations: 23

Authors: 14

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Institutions FC
Stanford Neurosciences Institute, United States of America (USA) 0.26
Stanford Department of Electrical Engineering (EE), United States of America (USA) 0.18
Google LLC, United States of America (USA) 0.10
Stanford Department of Neurosurgery, United States of America (USA) 0.07
Cold Spring Harbor Laboratory (CSHL), United States of America (USA) 0.04
UCLA Department of Electrical and Computer Engineering (ECE), United States of America (USA) 0.04
Department of Neurosurgery, PAMF, United States of America (USA) 0.04
OpenAI, United States of America (USA) 0.04
University of California, Berkeley (UC Berkeley), United States of America (USA) 0.04
Mortimer B. Zuckerman Mind Brain Behavior Institute, CU, United States of America (USA) 0.02
Department of Physiology and Cellular Biophysics, CU, United States of America (USA) 0.02
Department of Neuroscience, CU, United States of America (USA) 0.02
Carney Institute for Brain Science (BIBS), Brown University, United States of America (USA) 0.02
Department of Neurology, MGH, United States of America (USA) 0.02
School of Engineering, Brown University, United States of America (USA) 0.02
VA Center of Excellence for Neurorestoration and Neurotechnology (CfNN), United States of America (USA) 0.02
Department of Neurosurgery, Emory University, United States of America (USA) 0.01
Wallace H. Coulter Department of Biomedical Engineering (BME), United States of America (USA) 0.01
Stanford Department of Bioengineering, United States of America (USA) 0.01
Stanford Bio-X, United States of America (USA) 0.01
Stanford University, United States of America (USA) 0.01
Stanford Department of Neurobiology, United States of America (USA) 0.01

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