Neurodynamics of cognition and consciousness
著者
書誌事項
Neurodynamics of cognition and consciousness
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2007
大学図書館所蔵 全7件
注記
"With 139 figures and 17 tables"--on T.p.
内容説明・目次
内容説明
Experimental evidence in humans and other mammalians indicates that complex neurodynamics is crucial for the emergence of higher-level intelligence. Dynamical neural systems with encoding in limit cycle and non-convergent attractors have gained increasing popularity in the past decade. The role of synchronization, desynchronization, and intermittent synchronization on cognition has been studied extensively by various authors, in particular by authors contributing to the present volume. This book addresses dynamical aspects of brain functions and cognition.
目次
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.
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