Abstract
Dynamic aspects of higher cognitive functions are addressed. Dynamical neural networks with encoding in limit cycle and non-convergent attractors have gained increasing popularity in the past decade. Experimental evidence in humans and other mammalians indicates that complex neurodynamics is crucial for the emergence of higher-level intelligence and consciousness. We give an overview of research activities in the field, including dynamic models of consciousness, experiments to identify neurodynamic correlates of cognitive functions, interpretation of experimental findings, development of dynamical neural memories, and applications of dynamical approaches to intelligent system.
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Perlovsky, L.I., Kozma, R. (2007). Neurodynamics of Cognition and Consciousness. In: Perlovsky, L.I., Kozma, R. (eds) Neurodynamics of Cognition and Consciousness. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73267-9_1
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DOI: https://doi.org/10.1007/978-3-540-73267-9_1
Publisher Name: Springer, Berlin, Heidelberg
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