Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
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UNVERDICTED 3representative citing papers
Tuning a human connectome model via standardized metrics yields emergent alpha-band oscillations, infra-slow rhythms, and higher perturbational complexity in both spontaneous and evoked regimes.
Semi-empirical model shows sleep divides cortex into frontoparietal regions approaching oscillatory bifurcation and sensorimotor regions with stable noise-driven dynamics, plus subcortical deactivation at onset that reverses in deeper sleep.
citing papers explorer
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From Chaos to Synchrony in Recurrent Excitatory-Inhibitory Networks with Target-Specific Inhibition
Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
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Emergent complexity and rhythms in evoked and spontaneous dynamics of human whole-brain models after tuning through analysis tools
Tuning a human connectome model via standardized metrics yields emergent alpha-band oscillations, infra-slow rhythms, and higher perturbational complexity in both spontaneous and evoked regimes.
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Modeling the relationship between regional activation and functional connectivity during wakefulness and sleep
Semi-empirical model shows sleep divides cortex into frontoparietal regions approaching oscillatory bifurcation and sensorimotor regions with stable noise-driven dynamics, plus subcortical deactivation at onset that reverses in deeper sleep.