Chaotic behavior in probabilistic cellular neural networks | IEEE Conference Publication | IEEE Xplore

Chaotic behavior in probabilistic cellular neural networks


Abstract:

Experiments conducted in brains by electroencephalographic and magnetoencephalographic techniques reveal widespread coherent oscillations. The oscillations over multiple ...Show More

Abstract:

Experiments conducted in brains by electroencephalographic and magnetoencephalographic techniques reveal widespread coherent oscillations. The oscillations over multiple frequency bands overlap and result in signals with broad spectra. Previous studies showed that various frequencies can be modeled by probabilistic cellular automata with coupled inhibitory and excitatory interactions. In this work we show that coupled oscillator layers can create broad-spectrum chaotic oscillations with power spectral densities over long times segments converging to Brown noise features. Models of cortical neurodynamics provide an interpretation of the observed phenomena.
Date of Conference: 18-23 July 2010
Date Added to IEEE Xplore: 14 October 2010
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Conference Location: Barcelona, Spain

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