Information Transmission Using Non-Poisson Regular Firing

@article{Koyama2013InformationTU,
  title={Information Transmission Using Non-Poisson Regular Firing},
  author={Shinsuke Koyama and Takahiro Omi and Robert E. Kass and Shigeru Shinomoto},
  journal={Neural Computation},
  year={2013},
  volume={25},
  pages={854-876}
}
In many cortical areas, neural spike trains do not follow a Poisson process. In this study, we investigate a possible benefit of non-Poisson spiking for information transmission by studying the minimal rate fluctuation that can be detected by a Bayesian estimator. The idea is that an inhomogeneous Poisson process may make it difficult for downstream decoders to resolve subtle changes in rate fluctuation, but by using a more regular non-Poisson process, the nervous system can make rate… CONTINUE READING

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