Locally embedded presages of global network bursts

@article{Tajima2017LocallyEP,
  title={Locally embedded presages of global network bursts},
  author={Satohiro Tajima and Takeshi Mita and Douglas J. Bakkum and Hirokazu Takahashi and Taro Toyoizumi},
  journal={Proceedings of the National Academy of Sciences},
  year={2017},
  volume={114},
  pages={9517 - 9522}
}
Significance This paper reports an approach to detecting the “early warnings” of upcoming global state transitions in a network based on its local dynamics, demonstrating that seemingly stochastic global events can be predicted by local deterministic dynamics. Based on the method using a nonlinear state-space reconstruction, we show that, surprisingly, dynamics of individual neurons can robustly predict the upcoming synchronous burst in the neural population at high signal-to-noise ratios… 

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