UID:
almafu_9958056773902883
Umfang:
1 online resource (325 p.)
Ausgabe:
1st ed.
ISBN:
1-280-63786-2
,
9786610637867
,
0-08-045826-2
Inhalt:
This book presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments that could arise from our growing understanding of how living cognitive systems behave, and the ability to use that knowledge in the design of artificial systems.
Anmerkung:
Description based upon print version of record.
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Cover; Cognitive Systems: Information Processing Meets Brain Science; Contents; Contributors; Preface; Introduction; The Right Time; Challenges for the Future; The Broader Remit; A New Generation; Public Debate; A New Dawn?; Section 1: How to Design a Cognitive System; Introduction; 1 Self-organization in the Nervous System; 1 INTRODUCTION; 1.1 Self-organization in the Nervous System; 1.2 Outline of the Chapter; 2 SELF-ORGANIZATION IN DEVELOPMENT; 2.1 Self-organization and Pattern Formation; 2.1.1 Pattern Formation in the Specification of Forebrain
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2.1.2 Pattern Formation in the Specification of Neocortex 2.1.3 Self-organization in Forebrain and Neocortical Development; 2.1.4 Pattern Formation in the Positioning of Cells; 2.2 Making the Correct Numbers of Cells: Cell Death; 2.3 Development of Connections; 2.3.1 Map Formation; 2.3.2 Topographic Map Formation in the Visual System; 2.3.3 The Elimination of Superinnervation from Developing Muscle; 3 THE ROLE OF SELF-ORGANIZATION IN EXPERIENTIAL CHANGE; 3.1 Feature Maps; 3.1.1 Ocular Dominance, Orientation and Direction Selectivity; 3.1.2 Relations Between the Different Feature Maps
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3.1.3 The Effect of Neural Activity 3.1.4 Self-organization and the Formation of Feature Maps; 3.2 Self-organization and the Acquisition of Cognitive Function; 3.2.1 Cognitive Self-organization; 3.2.2 Neural Constructivism and Neural Networks; 4 SELF-ORGANIZATION AS A RESPONSE TO DAMAGE; 4.1 Self-reorganization; 4.2 Can the Nervous System Regenerate After All?; 5 OPEN QUESTIONS; 5.1 Questions for the Neurosciences; 5.1.1 Levels of Analysis; 5.1.2 The Use of Mathematical and Computer Models; 5.1.3 Evidence from Invertebrates; 5.2 Inspiration for Other Sciences - 'Cognitive Systems'
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Acknowledgments Further Reading; References; 2 Large-scale, Small-scale Systems; 1 INTRODUCTION; 1.1 State of the Art; 1.2 Key Open Questions; 2 INTRODUCTION; 2.1 Biology in Cognitive Systems: Science and Engineering; 2.2 Applications of BICAS; 2.2.1 Circuit-level Computation; 2.2.2 Networked and Distributed Computing; 2.2.3 Artificial Autonomous Agents; 2.3 Opportunities for BICAS; 2.4 Structure of this Chapter; 3 CIRCUIT-BASED SYSTEMS; 3.1 Introduction; 3.2 Key Questions; 3.2.1 Dynamics; 3.2.2 Self-organization; 3.2.3 Synchronization; 3.2.4 Processing Speed; 3.2.5 Timing; 3.2.6 Robustness
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3.2.7 Information Representation in Transmission 3.2.8 Construction and Microcircuitry; 3.3 Five-year View; 3.4 Twenty-year View; 4 DISTRIBUTED, NETWORKED COMPUTING SYSTEMS; 4.1 Introduction; 4.2 State of the Art; 4.2.1 Biologically Inspired Models of Collective Organization; 4.2.2 Multi-agent Machine Learning; 4.3 Key Questions; 4.4 Five-year View; 4.5 Twenty-year View; 5 AUTONOMOUS AGENTS; 5.1 Introduction; 5.2 State of the Art; 5.2.1 Autonomous Robots; 5.2.2 Software Agents; Business and Management; Auction Agents; 5.3 Biological Metaphors in Research; 5.4 Key Research Questions
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5.5 Five-year View
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English
Weitere Ausg.:
ISBN 0-12-088566-2
Sprache:
Englisch
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