In this episode of NeuroCareers, host Milena interviews Camille Gontier, a researcher at the Rehab Neural Engineering Labs of the University of Pittsburgh, about his BCI Award-nominated study on error detection and correction in brain-computer interfaces (BCI). Camille discusses the goal of improving the accuracy of human BCI motor control by enabling the brain to detect its own errors during BCI control without external feedback and self-correct in real time. The conversation covers how endogenous signals in the primary motor cortex reveal internal error monitoring, the importance of this mechanism for BCI reliability, and the future implications for neurorehabilitation and assistive technology. Camille also shares his career journey from France to Pittsburgh, offering insights into his academic path and advice for those entering the BCI field.
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