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

We study coarse pattern formation in a cellular automaton modelling a spatially-extended stochastic neural network. The model, originally proposed by Gong and Robinson (Phys Rev E 85(5):055,101(R), 2012), is known to support stationary and travelling bumps of localised activity. We pose the model on...

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Bibliographic Details
Main Authors: Avitable, Daniele, Wedgwood, Kyle C. A.
Format: Article
Language:English
English
Published: Springer 2017
Online Access:http://eprints.nottingham.ac.uk/41032/
http://eprints.nottingham.ac.uk/41032/
http://eprints.nottingham.ac.uk/41032/
http://eprints.nottingham.ac.uk/41032/8/Coherent%2010.1007_s00285-016-1070-9.pdf
http://eprints.nottingham.ac.uk/41032/1/1603.04486.pdf