"Uncovering a Universal Model of Neural Connectivity Across Species"
Physicists and neuroscientists propose a self-organizing model of connectivity, based on Hebbian dynamics, that accurately describes neuronal connectivity in various organisms and could apply to non-biological networks. The study, published in Nature Physics, suggests that the "heavy-tailed" distribution of connections in brain networks arises from general principles of networking and self-organization, rather than specific biological features. The model also explains clustering and accounts for randomness in brain circuits, offering insights that may extend beyond the brain to other types of networks in future research.