Chaotic behavior in probabilistic cellular neural networks


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.

DOI: 10.1109/IJCNN.2010.5596718

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@article{Kozma2010ChaoticBI, title={Chaotic behavior in probabilistic cellular neural networks}, author={Robert Kozma and Marko Puljic}, journal={The 2010 International Joint Conference on Neural Networks (IJCNN)}, year={2010}, pages={1-7} }