Christian Stockinger
Papers
4
Total Citations
74
H-Index
4
About
Christian Stockinger investigates the neural and behavioral mechanisms underlying human motor learning, with a focus on how the brain adapts to novel physical environments. His research centers on force field adaptation—a paradigm where subjects learn to compensate for robotic perturbations during reaching movements—and the role of "catch trials," in which forces are unexpectedly removed. Stockinger’s work demonstrates that catch trials not only influence the rate of adaptation but also critically affect the consolidation of motor memory, revealing how variability in practice shapes long-term retention. He further explores the contextual interference effect, showing that random, unstable practice conditions enhance retest and transfer performance, with mechanisms linked to parietal cortex activity. His contributions, cited over 70 times, include the development of the BioMotionBot, a robotic device designed for motor learning and rehabilitation applications. By bridging computational models of internal representations with empirical behavioral and neural data, Stockinger provides key insights into how the brain builds and stabilizes motor memories—insights with direct implications for neurorehabilitation and skill acquisition.
Research Focus
Key Achievements
Top Papers
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