LEADER 05039oam 2200553 450 001 9910811216403321 005 20190911112728.0 010 $a1-299-28131-1 010 $a981-4434-80-9 035 $a(OCoLC)897427181 035 $a(MiFhGG)GVRL8RHW 035 $a(EXLCZ)992560000000099539 100 $a20130701h20132013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aChaos, CNN, memristors and beyond $ea festschrift for Leon Chua /$feditors, Andrew Adamatzky, University of the West of England, UK, Guanrong Chen, City University of Hong Kong, PR China 210 $aSingapore ;$aLondon $cWorld Scientific$d2013 210 1$aNew Jersey :$cWorld Scientific,$d[2013] 210 4$d?2013 215 $a1 online resource (xii, 549 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDVD-ROM. 311 $a981-4434-79-5 320 $aIncludes bibliographical references. 327 $aPreface; 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 327 $a4. 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 327 $a2. 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 327 $a7. 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 327 $a2.2. 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 327 $aAcknowledgement 330 $aThis 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 606 $aNeural networks (Computer science) 606 $aMemristors 606 $aChaotic behavior in systems 615 0$aNeural networks (Computer science) 615 0$aMemristors. 615 0$aChaotic behavior in systems. 676 $a006.32 702 $aAdamatzky$b Andrew 702 $aChen$b G$g(Guanrong), 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910811216403321 996 $aChaos, CNN, memristors and beyond$93965094 997 $aUNINA