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: 7 caption), the critical property of such a manifold is that it captures the prominent patterns of co-modulation among the recorded neurons, which presumably reflect underlying network constraints.
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: Although our estimate of the intrinsic manifold can depend on several methodological factors (Extended Data Fig. 7 caption), the critical property of such a manifold is that it captures the prominent patterns of co-modulation among the recorded neurons, which presumably reflect underlying network constraints. 4a ); the average dimensionality was about ten (Fig.