Finite-size and correlation-induced effects in mean-field dynamics

  title={Finite-size and correlation-induced effects in mean-field dynamics},
  author={Jonathan Touboul and Bard Ermentrout},
  journal={Journal of Computational Neuroscience},
The brain’s activity is characterized by the interaction of a very large number of neurons that are strongly affected by noise. However, signals often arise at macroscopic scales integrating the effect of many neurons into a reliable pattern of activity. In order to study such large neuronal assemblies, one is often led to derive mean-field limits summarizing the effect of the interaction of a large number of neurons into an effective signal. Classical mean-field approaches consider the… CONTINUE READING
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Limit theorems and diffusion approximations for density dependent Markov chains, Math.Prog

  • T. G. Kurtz
  • 1976
Highly Influential
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