Global network dynamics over distributed brain areas emerge from the local
dynamics of each brain area. Conversely, global dynamics constrain local activity
such that the whole system becomes self-organizing. The implicit coupling
between local and global scales induces a form of circular causality that is characteristic
of complex, coupled systems that show self-organization, such as the
brain. Here we present a network model based on spiking neurons at the local
level and large-scale anatomic ...
Global network dynamics over distributed brain areas emerge from the local
dynamics of each brain area. Conversely, global dynamics constrain local activity
such that the whole system becomes self-organizing. The implicit coupling
between local and global scales induces a form of circular causality that is characteristic
of complex, coupled systems that show self-organization, such as the
brain. Here we present a network model based on spiking neurons at the local
level and large-scale anatomic connectivity matrices at the global level. We demonstrate
that this multiscale network displays endogenous or autonomous
dynamics of the sort observed in resting-state studies. Our special focus here is
on the genesis of itinerant (wandering) dynamics and the role of multistable
attractors, which are involved in the generation of empirically known functional
connectivity patterns, if the global coupling causes the dynamics to operate in
the critical regime. Our results provide once again support for the hypothesis
that endogenous brain activity is critical.
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