Matjaž Perc (Author)

Abstract

We study the effects of additive Gaussian noise on the behaviour of a simple spatially extended system, which is locally modelled by a nonlinear two-dimensional iterated map describing neuronal dynamics. In particular, we focus on the ability of noise to induce spatially ordered patterns, i. e. the so-called noise-induced pattern formation. For intermediate noise intensities, the spatially extended system exhibits ordered circular waves, thereby clearly manifesting the constructive role of random perturbations. The emergence of observed noise-induced patterns is explained with simple arguments that are obtained by analysing the typical spatial scale of patterns evoked by various diffusion coefficients. Since discrete-time systems are straightforward to implement and require modest computational capabilities, the present study describes one of the most fascinating and visually compelling examples of noise-induced self-organization in nonlinear systems in an accessible way for graduate or even advanced undergraduate students attending a nonlinear dynamics course.

Keywords

dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;hrup;intenziteta hrupa;dynamic systems;chaotic systems;nonlinear dynamics;nonlinear systems;noise;nonlinear analyses;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM PEF - Faculty of Education
UDC: 531.3
COBISS: 14506760 Link will open in a new window
ISSN: 0143-0807
Views: 1174
Downloads: 28
Average score: 0 (0 votes)
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Other data

Secondary language: English
Secondary keywords: dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;hrup;intenziteta hrupa;
URN: URN:SI:UM:
Pages: str. 451-460
Volume: ǂVol. ǂ27
Issue: ǂno. ǂ2
Chronology: 2006
ID: 8724187
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, lecture, presented at the Satellite Workshop at ECCS 07, Dresden, 4th-5th October (Evolution of of noise), 2007