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.

License: CC-By Attribution 4.0 International

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The reliability of clinical research is being compromised by the ‘replication crisis’ in biomedical research (Begley, Buchan & Dirnagl 2015; Mogil & Mcleod 2017). To ensure that ‘research translates into health’ (http://www.bihealth.org), the digital era demands transparent and open solutions for data handling, sharing, and integration. Open science practices improve efficiency, creativity, democr...

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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

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  • WJN Toolbox

    Code for multimodal neuroscience data analysis

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  • 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 Princ...

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  • My Bibliography

    Scientific publications

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