Criticality predicts maximum irregularity in recurrent networks of excitatory nodes

@inproceedings{Karimipanah2017CriticalityPM,
  title={Criticality predicts maximum irregularity in recurrent networks of excitatory nodes},
  author={Yahya Karimipanah and Zhengyu Ma and Ralf Wessel},
  booktitle={PloS one},
  year={2017}
}
A rigorous understanding of brain dynamics and function requires a conceptual bridge between multiple levels of organization, including neural spiking and network-level population activity. Mounting evidence suggests that neural networks of cerebral cortex operate at a critical regime, which is defined as a transition point between two phases of short lasting and chaotic activity. However, despite the fact that criticality brings about certain functional advantages for information processing… CONTINUE READING

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