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Neurodynamical competition and cooperation mechanisms in brain functions

Present-day research develops neurodynamical computational models inspired by the structure and properties of the nervous system in order to understand the underlying principles of cognitive brain functions. This work introduces and systematically analyzes two neurodynamical models that study specific cognitive phenomena as effects of multi-area processing. Along with correctly describing the experimental findings on awake behaving mammals, both models help to extract a number of possible underlying principles, like selective filtering, correlation facilitation and selective tuning. These dynamical features represent fundamental building blocks for large-scale neurodynamical multi-area models of cognitive brain function.