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Neurodynamics of Cognition and Consciousness

  • Book
  • © 2007

Overview

Editors:
  1. Leonid I. Perlovsky

    1. School of Engineering and Applied Sciences, Harvard University, Cambridge, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Robert Kozma

    1. Computational Neurodynamics Laboratory 373 Dunn Hall, Department of Computer Science University of Memphis, Memphis, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Addresses the operation and design of intelligent systems from a dynamic perspective
  • Triggered by discussions at the Session Special on “Neurodynamics of Higher-Level Cognitive Behavior” at the 2006 World Conference on Computational Intelligence

Part of the book series: Understanding Complex Systems (UCS)

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Table of contents (16 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Neurodynamics of Cognition and Consciousness

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Neurodynamics of Cognition and Consciousness

      • Leonid I. Perlovsky, Robert Kozma
      Pages 1-8

  4. Cognitive Computing for Sensory Perception

    1. Front Matter

      Pages 183-183
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    2. Shape Recognition Through Dynamic Motor Representations

      • Navendu Misra, Yoonsuck Choe
      Pages 185-210

    3. A Biologically Inspired Dynamic Model for Object Recognition

      • Khan M. Iftekharuddin, Yaqin Li, Faraz Siddiqui
      Pages 211-227

    4. A Brain-Inspired Model for Recognizing Human Emotional States from Facial Expression

      • Jia-Jun Wong, Siu Yeung Cho
      Pages 233-254

    5. Engineering Applications of Olfactory Model from Pattern Recognition to Artificial Olfaction

      • Guang Li, Jin Zhang, Walter J. Freeman
      Pages 255-276

    6. Recursive Nodes with Rich Dynamics as Modeling Tools for Cognitive Functions

      • Emilio Del-Moral-Hernandez
      Pages 279-304

    7. Giving Meaning to Cycles to Go Beyond the Limitations of Fixed Point Attractors

      • Colin Molter, Utku Salihoglu, Hugues Bersini
      Pages 305-324

    8. Complex Biological Memory Conceptualized as an Abstract Communication System–Human Long Term Memories Grow in Complexity during Sleep and Undergo Selection while Awake

      • Bruce G. Charlton, Peter Andras
      Pages 325-339

    9. Nonlinear High-Order Model for Dynamic Synapse with Multiple Vesicle Pools

      • Bing Lu, Walter M. Yamada, Theodore W. Berger
      Pages 341-358
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Keywords

About this book

Higher cognition and consciousness became the objective of intensive scienti?c studiesandoftenspiriteddebatesinthe pastdecades.Thebrainhasimmenselyc- plex structure and functionality,while our understandingof its operationis yet in its infancy. Some investigators declare that higher-level cognition and consciousness are ultimately beyond the realms of human scienti?c understanding and reasoning, and research into these areas is a futile exercise. Yet, the knowledge instinct deeply rootedinhumanactivitydrivesresearcherstowardexploringthemysteriesofhuman thought. These efforts lead to the development of increasingly sophisticated sci- ti?c methods of understanding the operation of brains and the very nature of c- sciousness. The studies rely on the immense amountof experimentaldata becoming available as the result of advanced brain monitoring techniques. The experimental techniquesrequire,in turn,the developmentofnovelmethodsoftheoreticalanalysis and interpretation tools. Our work is part of these endeavors. This volume presents an in-depth overview of theoretical and experimental - proaches to cognitive dynamics and applications in designing intelligent devices. The research efforts leading to this book have started about 2 years ago when we embarked on organizing a series of special and invited sessions which took place in July 2006 at the World Congress of Computational Intelligence WCCI2006, in beautiful Vancouver, Canada. The talks covered various aspects of neurodynamics of higher-level cognitive behavior, consciousness, and modeling emotions. The main theme of this volume is the dynamics of higher cognitive functions.

Editors and Affiliations

  • School of Engineering and Applied Sciences, Harvard University, Cambridge, USA

    Leonid I. Perlovsky

  • Computational Neurodynamics Laboratory 373 Dunn Hall, Department of Computer Science University of Memphis, Memphis, USA

    Robert Kozma

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