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Abstracts
Dynamics of a neural network in the form of a linear chain of artificial neurons S_i∈(-1,1) influenced by an external sinusoidal stimulation is investigated as a function of the range k of synaptic connections with random values. Time evolution of the network is periodic for small k, however, clusters of neurons oscillating with a triple period of external stimulation, with quasiperiodic or with chaotic time evolution may occur. For increasing k the number and width of the chaotic clusters increase and for k >4 the chaotic motion occurs in the whole network. A route to chaos in the considered system is discussed.
Journal
Year
Volume
Issue
Pages
89-99
Physical description
Dates
published
2001-07
received
2001-05-19
Contributors
author
- Faculty of Physics, Warsaw University of Technology, Koszykowa 76, 00-662 Warsaw, Poland
- Central Institute for Labor Protection, Czerniakowska 16, 00-701 Warsaw, Poland
author
- Faculty of Physics, Warsaw University of Technology, Koszykowa 76, 00-662 Warsaw, Poland
author
- Faculty of Physics, Warsaw University of Technology, Koszykowa 76, 00-662 Warsaw, Poland
- Deptartment of Solid State Physics, University of Łódź, Pomorska 149/153, 90-283 Łódź, Poland
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv100n103kz