Neurodynamics of Cognition and Consciousness

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Perlovsky, Leonid I. (Επιμελητής έκδοσης), Kozma, Robert (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Understanding Complex Systems,
• Θέματα: Engineering.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Statistical Physics, Dynamical Systems and Complexity.; Artificial Intelligence (incl. Robotics).

This book addresses dynamical aspects of brain functions and cognition. Experimental evidence in humans and other mammalians indicates that complex neurodynamics is crucial for the emergence of higher-level cognition and consciousness. Dynamical neural systems with encoding in limit cycle and non-co...

Πίνακας περιεχομένων:

• Neurodynamics of Cognition and Consciousness
• Neurodynamics of Cognition and Consciousness
• Neurocognition and Human Consciousness
• Proposed Cortical “Shutter” Mechanism in Cinematographic Perception
• Toward a Complementary Neuroscience: Metastable Coordination Dynamics of the Brain
• The Formation of Global Neurocognitive State
• Neural Dynamic Logic of Consciousness: the Knowledge Instinct
• Using ADP to Understand and Replicate Brain Intelligence: The Next Level Design?
• Neurodynamics of Intentional Behavior Generation
• How Does the Brain Create, Change, and Selectively Override its Rules of Conduct?
• Cognitive Computing for Sensory Perception
• Shape Recognition Through Dynamic Motor Representations
• A Biologically Inspired Dynamic Model for Object Recognition
• A Brain-Inspired Model for Recognizing Human Emotional States from Facial Expression
• Engineering Applications of Olfactory Model from Pattern Recognition to Artificial Olfaction
• Recursive Nodes with Rich Dynamics as Modeling Tools for Cognitive Functions
• Giving Meaning to Cycles to Go Beyond the Limitations of Fixed Point Attractors
• Complex Biological Memory Conceptualized as an Abstract Communication System–Human Long Term Memories Grow in Complexity during Sleep and Undergo Selection while Awake
• Nonlinear High-Order Model for Dynamic Synapse with Multiple Vesicle Pools.