There are "brain areas"(local brain chunks specialized in something) and "brain networks"(non-local connections like the default network). NNs seem be focusing

There are "brain areas"(local brain chunks specialized in something) and "brain networks"(non-local connections like the default network). NNs seem be focusing in modeling specific "brain areas"(static capabilities) but brain is highly modular, 'neuroplastic' piece of machinery that is dynamic and evolving with brain networks being central to its 'learned capabilities'. so i'd have to say inter-area communications are more important aspect that is being neglected as the 'brain networks' are more complex to probe vs static brain areas. https://www.pennmedicine.org/news/news-releases/2020/february/machine-learning-identifies-personalized-brain-networks-in-children https://www.pennmedicine.org/news/news-releases/2020/februar...