A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas

摘要: Cortical activity has distinct features across scales, from the spiking statistics of individual cells to global resting-state networks. We here describe first full-density multi-area network model cortex, using macaque visual cortex as a test system. The represents each area by microcircuit with area-specific architecture and layer- population-resolved connectivity between areas. Simulations reveal structured asynchronous irregular ground state. In metastable regime, reproduces electrophysiological recordings cortico-cortical interaction patterns in fMRI functional under conditions. Stable inter-area propagation is supported synapses that are moderately strong onto excitatory neurons stronger inhibitory neurons. Causal interactions depend on both cortical structure dynamical state populations. Activity propagates mainly feedback direction, similar experimental results associated imagery sleep. unifies local large-scale accounts clarifies how detailed shapes its dynamics multiple scales. Based our simulations, we hypothesize spontaneous condition brain operates regime where projections target populations balanced manner produces substantial while maintaining stability.