Abstract
We developed a dynamical systems approach to spatio-temporal neurodynamics. The corresponding mathematical objects are called Freeman K sets, which are mesoscopic models representing an intermediate-level between microscopic neurons and macroscopic brain structures. K sets are multi-scale models, describing increasing complexity of structure and dynamical behaviors.
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Kozma, R., Freeman, W.J. (2016). Supplement I: Mathematical Framework. In: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Studies in Systems, Decision and Control, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-24406-8_8
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