Name: Neurodynamics of Cognition and Consciousness
ISBN: 978-3-540-73267-9

Editors:

Leonid I. Perlovsky⁰,
Robert Kozma¹

Leonid I. Perlovsky
1. School of Engineering and Applied Sciences, Harvard University, Cambridge, USA
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Robert Kozma
1. Computational Neurodynamics Laboratory 373 Dunn Hall, Department of Computer Science University of Memphis, Memphis, USA
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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)

Front Matter

Pages I-XI

PDF
Neurodynamics of Cognition and Consciousness
1. Front Matter
  
  Pages 1-1
  
  PDF
2. Neurodynamics of Cognition and Consciousness
  
  Leonid I. Perlovsky, Robert Kozma
  
  Pages 1-8
Neurocognition and Human Consciousness
1. Front Matter
  
  Pages 9-9
  
  PDF
2. Proposed Cortical “Shutter” Mechanism in Cinematographic Perception
  
  Walter J. Freeman
  
  Pages 11-38
3. Toward a Complementary Neuroscience: Metastable Coordination Dynamics of the Brain
  
  J. A. Scott Kelso, Emmanuelle Tognoli
  
  Pages 39-59
4. The Formation of Global Neurocognitive State
  
  Steven L. Bressler
  
  Pages 61-72
5. Neural Dynamic Logic of Consciousness: the Knowledge Instinct
  
  Leonid I. Perlovsky
  
  Pages 73-108
6. Using ADP to Understand and Replicate Brain Intelligence: The Next Level Design?
  
  Paul J. Werbos
  
  Pages 109-123
7. Neurodynamics of Intentional Behavior Generation
  
  Robert Kozma
  
  Pages 131-161
8. How Does the Brain Create, Change, and Selectively Override its Rules of Conduct?
  
  Daniel S. Levine
  
  Pages 163-181
Cognitive Computing for Sensory Perception
1. Front Matter
  
  Pages 183-183
  
  PDF
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

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.

Keywords

behavior
biologically inspired
brain
cognition
communication
complexity
consciousness
emotion
intelligence
memory
model
modeling
neuroscience
object recognition
perception

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

Bibliographic Information

Book Title: Neurodynamics of Cognition and Consciousness
Editors: Leonid I. Perlovsky, Robert Kozma
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-540-73267-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-73266-2Published: 21 August 2007
Softcover ISBN: 978-3-642-09232-9Published: 22 November 2010
eBook ISBN: 978-3-540-73267-9Published: 26 August 2007
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XI, 366
Topics: Mathematical and Computational Engineering, Complex Systems, Artificial Intelligence, Statistical Physics and Dynamical Systems

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Table of contents (16 chapters)

Front Matter

Neurodynamics of Cognition and Consciousness

Front Matter

Neurocognition and Human Consciousness

Front Matter

Cognitive Computing for Sensory Perception

Front Matter

About this book

Keywords

Editors and Affiliations

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

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

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

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