The book describes how elementary neuronal information is combined in perception and language, so it becomes clear how the brain processes this information to enable basic cognitive performance of the humans.
The book describes how elementary neuronal information is combined in perception and language, so it becomes clear how the brain processes this information to enable basic cognitive performance of the humans.
Harald Maurer is a post-doctoral researcher at the Wilhelm-Schickard-Institute for Computer Science, in the Department of Mathematical Logic and Theory of Language (University of Tübingen). He is published in journals such as "Computational Cognitive Science" and "Journal for General Philosophy of Science," is a lecturer at the Universities of Tübingen, Heidelberg and Magdeburg since 2012. He has presented his research at the universities of Tübingen, Berlin, Magdeburg, Leipzig, Bochum, Stuttgart and at the Max-Planck-Institute for Brain Research in Frankfurt/Main.
Inhaltsangabe
Preface. Introduction: Theory of an Integrative Neurocognition. PART 1: FOUNDATIONS OF COGNITIVE SCIENCE. Cognitive Science: Integrative Theory of Cognition, Cognitivism and Computationalism. (General) Theory of (Nonlinear) Dynamical Systems and the Paradigm of Self-Organization. Theoretical Paradigms in Cognitive Science and in Theoretical Neurophilosophy. Integrative Synchronization Mechanisms and Models in the Cognitive Neurosciences. Mathematical, Physical and Neuronal Entropy Based Information Theory. PART 2: COGNITIVE NEUROARCHITECTURES IN NEUROINFORMATICS, IN COGNITIVE SCIENCE AND IN COMPUTATIONAL NEUROSCIENCE. Systematic Class of Classic Vector Based Architecture Typs. Systematic Class of Attractor Based Architecture Typs. Systematic Class of Oscillator Based Architecture Typs. Systematic Class of System Dynamic Based and Synapse Based Architecture Typs. Systematic Class of Information Based Architecture Typs. Epilogue: Discussion, Evaluation and Future Research. Bibliography. Index.
Preface. Introduction: Theory of an Integrative Neurocognition. PART 1: FOUNDATIONS OF COGNITIVE SCIENCE. Cognitive Science: Integrative Theory of Cognition, Cognitivism and Computationalism. (General) Theory of (Nonlinear) Dynamical Systems and the Paradigm of Self-Organization. Theoretical Paradigms in Cognitive Science and in Theoretical Neurophilosophy. Integrative Synchronization Mechanisms and Models in the Cognitive Neurosciences. Mathematical, Physical and Neuronal Entropy Based Information Theory. PART 2: COGNITIVE NEUROARCHITECTURES IN NEUROINFORMATICS, IN COGNITIVE SCIENCE AND IN COMPUTATIONAL NEUROSCIENCE. Systematic Class of Classic Vector Based Architecture Typs. Systematic Class of Attractor Based Architecture Typs. Systematic Class of Oscillator Based Architecture Typs. Systematic Class of System Dynamic Based and Synapse Based Architecture Typs. Systematic Class of Information Based Architecture Typs. Epilogue: Discussion, Evaluation and Future Research. Bibliography. Index.
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