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Neuronal Adaptation Theory

Including 29 Exercises with Solutions, 43 Essential Ideas and 108 Partially Coloured Figures, Experiment Explanations, and General Theorems

Hans-Otto Carmesin

The human genotype represents at most ten billion pieces of binary information, whereas the humain brain contains more than a million times a billion synapses. So a differentiated brain structure is due to synaptic self-organization and adaptation. The goal is to model the formation of observed global brain structures and cognitive properties from local synaptic dynamics sometimes supervised by the limbic system. A general-neurosynaptic dynamics is solved with a novel field theory in a comprehensible manner and in quantitative agreement with many observations. Novel results concern for instance thermal membrane fluctuations, fluctuation dissipation theorems, cortical maps, topological charges, operant conditioning, transitive inference, learning hidden structures, behaviourism, attention focus, Wittgenstein paradox, infinite generalization, schizophrenia dynamics, perception dynamics, non- equilibrium phase transitions, emergent valuation. Also the formation of advanced cognitive properties is modeled.
Contents: Neuronal association patterns - Self-organizing networks - Supervised and self-organized adaptations - Advanced adaptations such as inconsistent stimulus learning - Schizophrenia model - Wittgenstein paradox model - Perception dynamics - Emergent valuation.