News Finding: "These findings could be the basis for novel rehabilitation procedures for the many neural disorders that are characterized by improper neural activity," Yu says.
Paper Finding: As a result, we could not use the calibration procedure relying on the previous day's intuitive mapping.
News Context: Byron M. Yu, assistant professor of electrical and computer engineering and biomedical engineering at Carnegie Mellon, believes this work demonstrates the utility of BCI for basic scientific studies that will eventually impact people's lives. "These findings could be the basis for novel rehabilitation procedures for the many neural disorders that are characterized by improper neural activity," Yu says. "Restoring function might require a person to generate a new pattern of neural activity.
Paper Context: The following describes the BCI calibration procedure for monkey L. We observed that neural activity for this monkey was not as stable from day to day as it was for monkey J. As a result, we could not use the calibration procedure relying on the previous day's intuitive mapping. Additionally, the observation-based calibration procedure was not as effective at generating an intuitive decoder for monkey L as it had been for monkey J.