Resting brains never rest: computational insights into potential cognitive architectures

@article{Deco2013RestingBN,
  title={Resting brains never rest: computational insights into potential cognitive architectures},
  author={Gustavo Deco and Viktor K. Jirsa and Anthony Randal McIntosh},
  journal={Trends in Neurosciences},
  year={2013},
  volume={36},
  pages={268-274}
}
Resting-state networks (RSNs), which have become a main focus in neuroimaging research, can be best simulated by large-scale cortical models in which networks teeter on the edge of instability. In this state, the functional networks are in a low firing stable state while they are continuously pulled towards multiple other configurations. Small extrinsic perturbations can shape task-related network dynamics, whereas perturbations from intrinsic noise generate excursions reflecting the range of… CONTINUE READING
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