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SPOKES: From experiment to open metadata repository: Computational reproducibility for FAIR translational neuromodulation research in clinical neuroscience.
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Description: As a recently appointed assistant professor, I work in biomarker characterization and algorithm development for closed - loop neurostimulation in human patients. My research has immediate translational potential for therapeutic improvement. Lack of transparency and reproducibility impedes innovation and obliterates clinical adoption of unambiguously promising advances. The SPOKES fellowship will help me to trailblaze data strategy development for multimodal human neuromodulation research. The aim of the project is to pioneer automatized data flow algorithms from human neuroscience experiment to computational reproducibility.
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Interventional and Cognitive Neuromodulation
This is the group website of the Interventional Cognitive Neuromodulation Unit at the Movement Disorder and Neuromodulation Unit
WJN Toolbox
Code for multimodal neuroscience data analysis
CRCNS iDBS: Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation Using Cortical and Subcortical Sensing
CRCNS: US-GERMAN RESEARCH PROPOSAL: Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation Using Cortical and Subcortical Sensing
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