Macroscopic coherent structures in a stochastic neural network: from interface dynamics to coarse-grained bifurcation analysis

HIGHLIGHTS

  • who: Daniele Avitable from the Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham , RD, UK have published the paper: Macroscopic coherent structures in a stochastic neural network: from interface dynamics to coarse-grained bifurcation analysis, in the Journal: (JOURNAL)
  • what: Stationary and travelling bumps have similar meso- and macroscopic profiles but different microscopic structure hence the authors propose lifting operators which use microscopic motifs to disambiguate them. The authors provide numerical evidence that waves are supported by a combination of was generously supported by the Wellcome Trust Institutional Strategic . . .

     

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