Yohei Takata

Papers

Total Citations

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About

Yohei Takata is a researcher focused on advancing brain-computer interface (BCI) technology for neuro-rehabilitation, with a particular emphasis on restoring motor function after stroke. His work centers on understanding the neural mechanisms underlying motor intention and sensory feedback integration. In his most-cited study, "Analysis of key factors on ERD production for BCI neuro-robotic rehabilitation," Takata investigated how event-related desynchronization (ERD) patterns can be optimized to drive robotic rehabilitation devices. This research contributes to the development of closed-loop BCI systems that provide reafferent sensory feedback synchronized with voluntary motor intent, a strategy believed to promote neural plasticity and functional recovery. While his citation count is modest, his work addresses a critical bottleneck in clinical BCI adoption: the reliability of neural signal decoding for real-time motor control. Takata’s contributions are particularly relevant for researchers designing patient-specific rehabilitation protocols, as he identifies key parameters—such as feedback timing and task complexity—that influence ERD production. His findings help bridge the gap between fundamental neuroscience and practical neuroprosthetic applications, offering a pathway toward more effective, personalized stroke rehabilitation.