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Conference Presentation (Plenary/Keynote) | FZJ-2022-01512 |
2022
Abstract: To date, models of the cerebral cortex have seldom combined accounts of the dynamics in local cortical circuits with large-scale activity patterns across multiple areas. I will present supercomputational simulation studies of resting-state activity in macaque and human cerebral cortices which bring together microscopic and macroscopic descriptions of the structure and dynamics. The simulations reproduce key aspects of spiking statistics as well as patterns of fMRI functional connectivity, and support the notion that cerebral cortex is poised just below a state transition. The models can serve as platforms for testing theories of cortical function in a setting constrained by anatomical and physiological data at multiple scales.
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