
About
David Franklin is an Associate Professor at the Technical University of Munich specialized in Neuromuscular Diagnostics. His research focuses on the physiological and computational principles of human neuromuscular motor control, particularly how the nervous system regulates body mechanics to adapt to environments and enable skillful movement. Affiliated with Munich Cluster for Neuroimaging (MCN) and GSN full faculty, he combines computational modeling with robotics, virtual reality, and human behavior experiments to study sensorimotor integration.
Research Themes:
- Computational neuroscience of motor control
- Impedance control in human movement
- Robotics for sensorimotor studies
- Behavioral task design and analysis
Selected Publication Trends reveal consistent focus on feedback/forward control mechanisms, computational modeling in sensorimotor integration, and robotics/virtual reality applications in motor learning across 2011-2020. His work addresses both execution and planning aspects of neuromuscular control.
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