Optimal Detection of a Localized Perturbation in Random Networks of Integrate-and-Fire Neurons.

@article{Bernardi2017OptimalDO,
  title={Optimal Detection of a Localized Perturbation in Random Networks of Integrate-and-Fire Neurons.},
  author={Davide Bernardi and Benjamin Lindner},
  journal={Physical review letters},
  year={2017},
  volume={118 26},
  pages={
          268301
        }
}
Experimental and theoretical studies suggest that cortical networks are chaotic and coding relies on averages over large populations. However, there is evidence that rats can respond to the short stimulation of a single cortical cell, a theoretically unexplained fact. We study effects of single-cell stimulation on a large recurrent network of integrate-and-fire neurons and propose a simple way to detect the perturbation. Detection rates obtained from simulations and analytical estimates are… 

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