Ulrike Hoffmann

Papers

Total Citations

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About

Ulrike Hoffmann’s research lies at the critical intersection of neurorehabilitation, brain-computer interfaces (BCIs), and motor recovery after stroke. Her most-cited work, "Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation" (2011, 21 citations), addresses a fundamental challenge: how to integrate both sensory (afferent) and motor (efferent) neural signals to create more effective rehabilitation technologies. Hoffmann’s key contribution is in designing BCI systems that leverage preserved sensory pathways in stroke survivors—many of whom retain sensation despite complete limb paralysis—to drive functional electrical stimulation (FES) and robotic devices. This approach moves beyond simple motor command decoding, instead creating closed-loop systems that engage the brain’s natural sensorimotor integration. Her work has been instrumental in shaping how researchers think about combining neural decoding with targeted stimulation for motor recovery. While her citation count reflects a focused, early-career impact in a specialized field, Hoffmann’s conceptual framework continues to influence the development of next-generation neuroprosthetics that aim to restore both movement and sensory feedback in paralyzed patients.