Louis Nick Ramsey, Ph.D., Scientific Steering Group Member, University Medical Center Utrecht James R. Louis Mohammad Amin Nourmohammadi, Ph.D., Postdoctoral Associate, Washington University in St. Moran, Ph.D., Co-Investigator, Washington University in St. Miller, M.D., Ph.D., Ph.D., Scientific Steering Group Member, Mayo Clinic Rochester Daniel W. Louis Nicholas Luczak, B.Sc., Research Assistant, Washington University in St. Leuthardt, M.D., Co-Investigator, Washington University in St. Jeremy Hill, Ph.D., Research Scientist, Albany Research Institute Jane Huggins, Ph.D., Scientific Steering Group Member, University of Michigan Dean Krusienski, Ph.D., Scientific Steering Group Member, Virginia Commonwealth University Eric C. Louis Aysegul Gunduz, Ph.D., Scientific Steering Group Member, University of Florida N. Louis William Engelhardt, Research Assistant, Washington University in St. Louis Hohyun Cho, Ph.D., Postdoctoral Associate, Washington University in St. Belsten, B.Sc., Research Assistant, Washington University in St. Markus Adamek, M.Sc., Graduate Student, Washington University in St. * Produce data that includes all the information (e.g., recording and/or stimulation parameters) that is necessary for interpretation by personnel other than those individuals who collected the data. * Support an adaptive neurotechnology through its initial design and configuration, and the modeling and/or animal studies that define its characteristics and capabilities support clinical studies to test hypotheses as to its ability to serve specific scientific, therapeutic, or diagnostic purposes. * Facilitate the dissemination of scientific and clinical experiments across laboratories in different locations with varying hardware and personnel. * Facilitate the implementation and verification of all adaptive neurotechnology experiments planned in a particular laboratory. * Analyze multiple inputs rapidly to produce multiple outputs (e.g., visual feedback, electrical stimulation, prosthesis control) store all inputs and outputs for offline analyses. * Synchronize data acquired from different sources (e.g., brain signals, other physiological signals such as electromyographic (EMG) activity, behavioral signals such as movement kinematics, audio or video) and at different sampling rates.
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