CRCNS iDBS: Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation Using Cortical and Subcortical Sensing

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Description: CRCNS: US-GERMAN RESEARCH PROPOSAL: Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation Using Cortical and Subcortical Sensing Principal Investigators: R. Mark Richardson, MD, PhD, Neurosurgery Faculty, Harvard Medical School and Robert S. Turner, PhD, Department of Neurobiology, University of Pittsburgh; Wolf-Julian Neumann, MD, and Andrea A. Kühn, MD, Department of Neurology, Charité-Universitätsmedizin Berlin. Co-Investigators: Benjamin Blankertz, PhD, Department of Computer Science, Technische Universität Berlin; Tom Mitchell, PhD, Machine Learning Department, Carnegie Mellon University.

License: CC-By Attribution 4.0 International

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PROJECT DESCRIPTION Introduction and Objectives Deep brain stimulation (DBS) represents one of the major clinical breakthroughs in the age of translational neuroscience. In 1987, Benabid and colleagues demonstrated that high frequency stimulation can mimic the effects of ablative neurosurgery in Parkinson’s disease (PD), while offering two key advantages to previous procedures: adjustability and r...

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