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: The principles we observed may govern other forms of learning 4,25-28 and perhaps even cognitive processes.
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: In summary, a BCI paradigm enabled us to reveal neural constraints on learning. The principles we observed may govern other forms of learning 4,25-28 and perhaps even cognitive processes. For example, combinatorial creativity 29 , which involves re-combining cognitive elements in Vertical bars indicate the standard error of log-likelihoods, computed across four cross-validation folds.