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Basic principles drive self-organization of brain-like connectivity structure
The brain can be considered as a system that dynamically optimizes the structure of anatomical connections based on the efficiency requirements of functional connectivity.
Adaptive rewiring of random neural networks generates convergent-divergent units
Convergent-divergent units operate within and between sensory, motor, and cognitive brain regions as their connective core, mediating context-sensitivity to local network units.
Functional and spatial rewiring jointly generate convergent-divergent units in self-organizing networks
The prominence of minimizing wiring distance in the dynamic evolution of the network determines the extent to which the core is encapsulated from the rest of the network, i. e., the context-sensitivity of its computations.
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