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...
Main Authors: | Avitable, Daniele, Wedgwood, Kyle C. A. |
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Format: | Article |
Language: | English English |
Published: |
Springer
2017
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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 |
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