Neurodynamics of Cognition and Consciousness

by Leonid I. Perlovsky (Editor), Robert Kozma (Editor)

Overview

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.

Product Details

ISBN-13:	9783642092329
Publisher:	Springer Berlin Heidelberg
Publication date:	11/23/2010
Series:	Understanding Complex Systems
Edition description:	Softcover reprint of hardcover 1st ed. 2007
Pages:	366
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

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.