News Finding: Because the existing brain patterns likely reflect how the neurons are interconnected, the results suggest that the connectivity among neurons shapes learning.
Paper Finding: For the linear regressions in Fig.
News Context: The harder-to-learn patterns were different from any of the pre-existing patterns, whereas the easier-to-learn patterns were combinations of pre-existing brain patterns. Because the existing brain patterns likely reflect how the neurons are interconnected, the results suggest that the connectivity among neurons shapes learning. 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.
Paper Context: In Extended Data Figs 1a and 3 , the histograms did not follow a normal distribution (Kolmogorov-Smirnov test). For the linear regressions in Fig. In each comparison, better performance is to the right.