Large-scale High-resolution Computational Model on the Cerebral Cortex

Large-scale brain models are pivotal for elucidating brain-wide dynamics, yet their integration with emerging high-resolution neuroimaging data remains limited. Here, we develop a high-resolution dynamical model of the human cerebral cortex comprising ∼60,000 vertices, which incorporates recent multiscale data on neurotransmitter receptor densities and structural connectivity. The model systematically recapitulates empirically observed spatiotemporal patterns across regimes: spontaneous resting-state activity including oscillations and traveling waves, stimulus-evoked propagation dynamics during full-field visual input, and distinct information flow patterns following focal cortical stimulation. By bridging microscale molecular architecture with macroscale dynamics, our framework establishes a new platform for interrogating the structure–dynamics–function relationship in health and disease.