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Nonlinear Dynamics & Chaos

Nabil Farhat

Qualitative theory of nonlinear dynamics, bifurcation and chaos and its application to the modeling and understanding of cortical dynamics. This encompasses corticonics (echoing electronics), neural networks; complexity, and dynamical computing with diverse attractors, the role of synchronization, bifurcation, and chaos in computing and encryption; holographic models of cortical information processing; biomorphic and bifurcation networks for feature extraction, feature binding and cognition; hardware (optoelectronic) implementation of bifurcation processing elements and networks. Image understanding and neuromorphic signal processing; remote sensing and automated object and radar target recognition.