The Resource Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua, editors, Andrew Adamatzky, Guanrong Chen, (electronic resource)

Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua, editors, Andrew Adamatzky, Guanrong Chen, (electronic resource)

Label
Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua
Title
Chaos, CNN, memristors and beyond
Title remainder
a Festschrift for Leon Chua
Statement of responsibility
editors, Andrew Adamatzky, Guanrong Chen
Contributor
Provider
Subject
Language
eng
Summary
This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua's Lagrangian circuits, cellular wave computers, bio-inspired robotics and neuro-morphic architectures, toroidal chaos, synaptic cellular automata, history of Chua's circuits, cardiac arrhythmias, local activity principle, symmetry breaking and complexity, bifurcation trees, and Chua's views on nonline
Cataloging source
NhCcYBP
Dewey number
006.32
Illustrations
illustrations
Index
no index present
LC call number
QA76.87
LC item number
.C43 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1936-
http://library.link/vocab/relatedWorkOrContributorName
  • Adamatzky, Andrew
  • Chen, G.
  • Chua, Leon O.
  • ebrary
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Memristors
  • Chaotic behavior in systems
Label
Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua, editors, Andrew Adamatzky, Guanrong Chen, (electronic resource)
Instantiates
Publication
Note
Acknowledgement
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization
  • 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction
  • 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration
  • 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion
  • 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions
Dimensions
unknown
Extent
1 online resource ( xii, 549 p.)
Form of item
online
Isbn
9789814434805
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
ill.
Reproduction note
Electronic reproduction.
Specific material designation
remote
Stock number
  • 99954884318
  • 459381
System control number
  • ebr10674352
  • (NhCcYBP)ybp10258472
Label
Chaos, CNN, memristors and beyond : a Festschrift for Leon Chua, editors, Andrew Adamatzky, Guanrong Chen, (electronic resource)
Publication
Note
Acknowledgement
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; CONTENTS; Part I. Cellular Nonlinear Networks, Nonlinear Circuits and Cellular Automata; 1. Genealogy of Chua's Circuit Peter Kennedy; 1. Introduction; 2. History; 3. Five-element Chua's Circuit; 3.1. Discrete circuit realization; 3.2. Piecewise-linear Chua diode; 3.2.1. Op amp-based negative impedance converters; 3.2.2. Current-mode negative impedance converters; 3.2.3. Transistor-based negative impedance converter and diodes; 3.3. Cubic nonlinearity; 3.4. Asymmetric nonlinearity; 3.5. Inductor; 3.5.1. Gyrator-based inductor; 3.6. Integrated circuit realization
  • 4. Four-element Chua's Circuit5. Three-element Chaotic Circuit; 6. Summary; References; 2. Impasse Points, Mutators, and Other Chua Creations Hyongsuk Kim; 1. Introduction; 2. Impasse Points; 3. Mutators; 3.1. Realization of mutators; 3.2. Experimental verification of mutators; 4. Other Chua Creations; Acknowledgment; References; 3. Chua's Lagrangian Circuit Elements Orla Feely; 1. Introduction; 2. Chua's Presentation of Lagrangian Circuit Elements; 3. Summary; References; 4. From CNN Dynamics to Cellular Wave Computers Tamas Roska; 1. Introduction
  • 2. Using Cellular Dynamics and Nonlinear Dynamical Circuits for Computation -- A Prehistory3. The Standard CNN (Cellular Neural/Nonlinear Network) as the Practically Feasible Prototype Solution and Related Stability Issues; 4. Inventing the Stored Programmable Spatial-temporal Computer: The CNN Universal Machine (CNN-UM) and the Cellular Wave Computer; 5. Making the First Silicon Visual Microprocessors and its Computational Infrastructure -- Other Physical Implementations; 6. Biological Relevance and Bio-inspiration
  • 7. Some Fundamental Theorems -- More than PDE, Equivalence to Fully-connectedness, Analytic Theory of CA, Godel Incompleteness8. Prototype Spatial-temporal CNN Algorithms and Novel Applications; 9. Physical and Virtual Cellular Machines with Kilo- and Mega-processor Chips and Related Topographic Algorithms; 10. Conclusions and Major New Challenges; Acknowledgment; References; 5. Contributions of CNN to Bio-robotics and Brain Science Paolo Arena and Luca Patane; 1. Introduction; 2. CNN-based CPGs for Locomotion Control in Bio-robots; 2.1. Basis of locomotion
  • 2.2. The CNN neuron model for CPG: a slow-fast controllable limit cycle2.3. CPG in a reaction-diffusion CNN structure; 2.4. CPG in amulti-template-CNN; 3. A Brain for the Body:A CNN-based Spatio-temporal Approach; 3.1. Control architecture; 3.1.1. Sensory block; 3.1.2. Basic behaviors; 3.1.3. Representation layer; 3.1.4. Preprocessing block; 3.1.5. Perceptual core; 3.1.6. Selection network; 3.1.7. Motivation layer and learning process; 3.2. Simulation results; 3.2.1. Learning phase; 3.2.2. Testing phase; 3.2.3. Experimental results; 4. A Note on Winnerless Competition in CNNs; 5. Conclusions
Dimensions
unknown
Extent
1 online resource ( xii, 549 p.)
Form of item
online
Isbn
9789814434805
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
ill.
Reproduction note
Electronic reproduction.
Specific material designation
remote
Stock number
  • 99954884318
  • 459381
System control number
  • ebr10674352
  • (NhCcYBP)ybp10258472

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