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• W4385581087 abstract "ABSTRACT Thanks to the availability of connectome data that map connectivity between multiple brain areas, it is now possible to build models of whole brain activity. At the same time, advances in mean-field techniques have led to biologically based population models that integrate biophysical features such as membrane conductances or synaptic conductances. In this paper, we show that this approach can lead to brain-wide models of mouse, macaque, and human. We illustrate this approach by showing the transition from wakefulness to sleep simulated with multi-scale models in the three species. We compare the level of synchrony between the three species and found that the mouse brain displays a higher overall synchrony of slow-waves compared to monkey and human brains. We also make the program code publicly available, which provides a set of open-source tools for simulating large-scale activity in the cerebral cortex of mouse, monkey, and human." @default.
• W4385581087 created "2023-08-05" @default.
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• W4385581087 date "2023-08-04" @default.
• W4385581087 modified "2023-10-02" @default.
• W4385581087 title "Asynchronous and slow-wave oscillatory states in connectome-based models of mouse, monkey and human cerebral cortex" @default.
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• W4385581087 doi "https://doi.org/10.1101/2023.08.03.551869" @default.
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