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.