ArticleCognitive neurodynamics2016
High codimensional bifurcation analysis to a six-neuron BAM neural network.
Article in Cognitive neurodynamics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Research on cascading high-dimensional isomorphic chaotic maps.Cognitive neurodynamics · 2021Article
- A basic bifurcation structure from bursting to spiking of injured nerve fibers in a two-dimensional parameter space.Cognitive neurodynamics · 2017Article
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4 authors.
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Abstract
In this article, the high codimension bifurcations of a six-neuron BAM neural network system with multiple delays are addressed. We first deduce the existence conditions under which the origin of the system is a Bogdanov-Takens singularity with multiplicities two or three. By choosing the connection coefficients as bifurcation parameters and using the formula derived from the normal form theory and the center manifold, the normal forms of Bogdanov-Takens and triple zero bifurcations are presented. Some numerical examples are shown to support our main results.
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