Chaos, CNN, memristors and beyond [[electronic resource] ] : a festschrift for Leon Chua / / editors, Andrew Adamatzky, Guanrong Chen |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, 2013 |
Descrizione fisica | 1 online resource (562 p.) |
Disciplina | 006.32 |
Altri autori (Persone) |
AdamatzkyAndrew
ChenG (Guanrong) ChuaLeon O. <1936-> |
Soggetto topico |
Neural networks (Computer science)
Memristors Chaotic behavior in systems |
Soggetto genere / forma | Electronic books. |
ISBN |
1-299-28131-1
981-4434-80-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Acknowledgement |
Record Nr. | UNINA-9910465588903321 |
Singapore ; ; London, : World Scientific, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Chaos, CNN, memristors and beyond : a festschrift for Leon Chua / / editors, Andrew Adamatzky, University of the West of England, UK, Guanrong Chen, City University of Hong Kong, PR China |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, 2013 |
Descrizione fisica | 1 online resource (xii, 549 pages) : illustrations (some color) |
Disciplina | 006.32 |
Collana | Gale eBooks |
Soggetto topico |
Neural networks (Computer science)
Memristors Chaotic behavior in systems |
ISBN |
1-299-28131-1
981-4434-80-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Acknowledgement |
Record Nr. | UNINA-9910792054103321 |
Singapore ; ; London, : World Scientific, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Chaos, CNN, memristors and beyond : a festschrift for Leon Chua / / editors, Andrew Adamatzky, University of the West of England, UK, Guanrong Chen, City University of Hong Kong, PR China |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, 2013 |
Descrizione fisica | 1 online resource (xii, 549 pages) : illustrations (some color) |
Disciplina | 006.32 |
Collana | Gale eBooks |
Soggetto topico |
Neural networks (Computer science)
Memristors Chaotic behavior in systems |
ISBN |
1-299-28131-1
981-4434-80-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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 Acknowledgement |
Record Nr. | UNINA-9910811216403321 |
Singapore ; ; London, : World Scientific, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Development of memristor based circuits [[electronic resource] /] / Herbert Ho-Ching Iu, Andrew L. Fitch |
Autore | Iu Herbert Ho-Ching |
Pubbl/distr/stampa | New Jersey ; ; London, : World Scientific, c2013 |
Descrizione fisica | 1 online resource (133 p.) |
Disciplina | 621.3815 |
Altri autori (Persone) | FitchAndrew L |
Collana | World Scientific series on nonlinear science, Series A |
Soggetto topico |
Memristors
Electronic circuits |
Soggetto genere / forma | Electronic books. |
ISBN |
1-299-28119-2
981-4383-39-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 HP Memristor; 1.3 Memristor Emulator; 1.3.1 Valsa's memristor emulator; 1.3.2 Pershin and Di Ventra's memristor emulator; 1.3.3 Muthuswamy's memristor modeling circuit; 1.3.4 Kim's memristor emulating circuit; 1.4 Structure of the Book; References; 2 Controlling Chaos in a Memristor Based Circuit; 2.1 Introduction; 2.2 Memristor Based Chaotic Circuit; 2.3 Notch Filter Feedback Controller; 2.3.1 Twin-T notch filter; 2.3.2 Interface circuit; 2.4 Simulation Results; 2.5 Experimental Setup; 2.6 Conclusion; References
3 Hyperchaos in a Memristor Based Modified Canonical Chua's Circuit3.1 Introduction; 3.2 Dynamical Equations of MHC; 3.3 Simulation Results; 3.4 Experimental Setup; 3.5 Conclusion; References; 4 Realization of an Analog Model of a Memristor Based on a Light Dependent Resistor; 4.1 Introduction; 4.2 Circuit Objectives; 4.3 Simulation Setup; 4.4 Experimental Setup; 4.5 Conclusion; References; 5 Design of a Memcapacitor Emulator Based on a Memristor; 5.1 Introduction; 5.2 The Memcapacitor and Its Relation to the Memristor; 5.3 Simulation Setup; 5.4 Experimental Setup; 5.5 Conclusion; References 6 Practical Realization of an Analog Model of a Memcapacitor6.1 Introduction; 6.2 Circuit Description; 6.2.1 Memristor mimicking circuit; 6.2.2 Capacitor multiplier; 6.2.3 Memcapacitor emulator; 6.3 Experimental Setup; 6.4 Conclusion; References; 7 Chaos in Memristively Coupled Harmonic Oscillators; 7.1 Introduction; 7.2 Coupled Oscillator Circuits; 7.3 Memristor Mimicking Circuit; 7.4 Memristively Coupled Harmonic Oscillator Circuit; 7.5 Experimental Setup; 7.6 Conclusion; References; 8 Conclusion and Future Work; 8.1 Summary; 8.2 Memory Applications; 8.3 Low Power Devices and Sensing 8.4 Neuromorphic Applications8.5 Flexible Circuits; 8.6 Analog Applications; References; Index |
Record Nr. | UNINA-9910465404303321 |
Iu Herbert Ho-Ching | ||
New Jersey ; ; London, : World Scientific, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Development of memristor based circuits [[electronic resource] /] / Herbert Ho-Ching Iu, Andrew L. Fitch |
Autore | Iu Herbert Ho-Ching |
Pubbl/distr/stampa | New Jersey ; ; London, : World Scientific, c2013 |
Descrizione fisica | 1 online resource (133 p.) |
Disciplina | 621.3815 |
Altri autori (Persone) | FitchAndrew L |
Collana | World Scientific series on nonlinear science, Series A |
Soggetto topico |
Memristors
Electronic circuits |
ISBN |
1-299-28119-2
981-4383-39-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 HP Memristor; 1.3 Memristor Emulator; 1.3.1 Valsa's memristor emulator; 1.3.2 Pershin and Di Ventra's memristor emulator; 1.3.3 Muthuswamy's memristor modeling circuit; 1.3.4 Kim's memristor emulating circuit; 1.4 Structure of the Book; References; 2 Controlling Chaos in a Memristor Based Circuit; 2.1 Introduction; 2.2 Memristor Based Chaotic Circuit; 2.3 Notch Filter Feedback Controller; 2.3.1 Twin-T notch filter; 2.3.2 Interface circuit; 2.4 Simulation Results; 2.5 Experimental Setup; 2.6 Conclusion; References
3 Hyperchaos in a Memristor Based Modified Canonical Chua's Circuit3.1 Introduction; 3.2 Dynamical Equations of MHC; 3.3 Simulation Results; 3.4 Experimental Setup; 3.5 Conclusion; References; 4 Realization of an Analog Model of a Memristor Based on a Light Dependent Resistor; 4.1 Introduction; 4.2 Circuit Objectives; 4.3 Simulation Setup; 4.4 Experimental Setup; 4.5 Conclusion; References; 5 Design of a Memcapacitor Emulator Based on a Memristor; 5.1 Introduction; 5.2 The Memcapacitor and Its Relation to the Memristor; 5.3 Simulation Setup; 5.4 Experimental Setup; 5.5 Conclusion; References 6 Practical Realization of an Analog Model of a Memcapacitor6.1 Introduction; 6.2 Circuit Description; 6.2.1 Memristor mimicking circuit; 6.2.2 Capacitor multiplier; 6.2.3 Memcapacitor emulator; 6.3 Experimental Setup; 6.4 Conclusion; References; 7 Chaos in Memristively Coupled Harmonic Oscillators; 7.1 Introduction; 7.2 Coupled Oscillator Circuits; 7.3 Memristor Mimicking Circuit; 7.4 Memristively Coupled Harmonic Oscillator Circuit; 7.5 Experimental Setup; 7.6 Conclusion; References; 8 Conclusion and Future Work; 8.1 Summary; 8.2 Memory Applications; 8.3 Low Power Devices and Sensing 8.4 Neuromorphic Applications8.5 Flexible Circuits; 8.6 Analog Applications; References; Index |
Record Nr. | UNINA-9910792055803321 |
Iu Herbert Ho-Ching | ||
New Jersey ; ; London, : World Scientific, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Development of memristor based circuits / / Herbert Ho-Ching Iu, Andrew L. Fitch |
Autore | Iu Herbert Ho-Ching |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New Jersey ; ; London, : World Scientific, c2013 |
Descrizione fisica | 1 online resource (133 p.) |
Disciplina | 621.3815 |
Altri autori (Persone) | FitchAndrew L |
Collana | World Scientific series on nonlinear science, Series A |
Soggetto topico |
Memristors
Electronic circuits |
ISBN |
1-299-28119-2
981-4383-39-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 HP Memristor; 1.3 Memristor Emulator; 1.3.1 Valsa's memristor emulator; 1.3.2 Pershin and Di Ventra's memristor emulator; 1.3.3 Muthuswamy's memristor modeling circuit; 1.3.4 Kim's memristor emulating circuit; 1.4 Structure of the Book; References; 2 Controlling Chaos in a Memristor Based Circuit; 2.1 Introduction; 2.2 Memristor Based Chaotic Circuit; 2.3 Notch Filter Feedback Controller; 2.3.1 Twin-T notch filter; 2.3.2 Interface circuit; 2.4 Simulation Results; 2.5 Experimental Setup; 2.6 Conclusion; References
3 Hyperchaos in a Memristor Based Modified Canonical Chua's Circuit3.1 Introduction; 3.2 Dynamical Equations of MHC; 3.3 Simulation Results; 3.4 Experimental Setup; 3.5 Conclusion; References; 4 Realization of an Analog Model of a Memristor Based on a Light Dependent Resistor; 4.1 Introduction; 4.2 Circuit Objectives; 4.3 Simulation Setup; 4.4 Experimental Setup; 4.5 Conclusion; References; 5 Design of a Memcapacitor Emulator Based on a Memristor; 5.1 Introduction; 5.2 The Memcapacitor and Its Relation to the Memristor; 5.3 Simulation Setup; 5.4 Experimental Setup; 5.5 Conclusion; References 6 Practical Realization of an Analog Model of a Memcapacitor6.1 Introduction; 6.2 Circuit Description; 6.2.1 Memristor mimicking circuit; 6.2.2 Capacitor multiplier; 6.2.3 Memcapacitor emulator; 6.3 Experimental Setup; 6.4 Conclusion; References; 7 Chaos in Memristively Coupled Harmonic Oscillators; 7.1 Introduction; 7.2 Coupled Oscillator Circuits; 7.3 Memristor Mimicking Circuit; 7.4 Memristively Coupled Harmonic Oscillator Circuit; 7.5 Experimental Setup; 7.6 Conclusion; References; 8 Conclusion and Future Work; 8.1 Summary; 8.2 Memory Applications; 8.3 Low Power Devices and Sensing 8.4 Neuromorphic Applications8.5 Flexible Circuits; 8.6 Analog Applications; References; Index |
Record Nr. | UNINA-9910826015503321 |
Iu Herbert Ho-Ching | ||
New Jersey ; ; London, : World Scientific, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Fundamentals of organic neuromorphic systems / / Victor Erokhin |
Autore | Erokhin Victor |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (270 pages) |
Disciplina | 621.38154 |
Soggetto topico | Memristors |
ISBN | 3-030-79492-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Introduction -- Involvement of Same Elements for Memorizing and Processing of Information -- Variation of Electrical Properties According to the Hebbian (or Alternative) Rule (Electronic Synapse) -- Possibility of Working in Auto-Oscillation Mode -- Formation of Stable Chains of the Signal Transfer -- Materials Used for Electronic Compounds Must Allow Self-Organisation into 3D Systems Mimicking Intrinsic Brain Functions -- Contents -- About the Author -- Chapter 1: Memristive Devices and Circuits -- 1.1 Determination of Memristor -- 1.2 Mnemotrix -- 1.3 First Mention About the Experimental Realization of Memristor -- 1.4 Inorganic Memristive Devices -- 1.5 Memristive Devices with the Organic Materials -- Chapter 2: Organic Memristive Device -- 2.1 Basic Materials -- 2.2 Structure and Working Principle of the Device -- 2.3 Electrical Characteristics of the Device -- 2.4 Device Working Mechanism -- 2.4.1 Spectroscopy -- 2.4.2 X-Ray Fluorescence -- 2.5 Electrical Characteristics in a Pulse Mode -- 2.6 Optimization of Properties and Stability of the Device -- 2.6.1 Stability of Organic Memristive Device Properties -- 2.6.2 Optimization of the Device Architecture -- 2.6.3 Role of the Electrolyte -- 2.7 Organic Memristive Devices with Channels, Formed by Layer-by-Layer Technique -- Chapter 3: Oscillators Based on Organic Memristive Devices -- Chapter 4: Models -- 4.1 Phenomenological Model -- 4.2 Simplified Model of the Organic Memristive Device Function -- 4.3 Electrochemical Model -- 4.4 Optical Monitoring of the Resistive States -- Chapter 5: Logic Elements and Neuron Networks -- 5.1 Logic Elements with Memory -- 5.1.1 Element ``OR´´ with Memory -- 5.1.2 Element ``AND´´ with Memory -- 5.1.3 Element ``NOT´´ with Memory.
5.1.4 Comparison of Logic Elements with Memory, Based on Organic and Inorganic Memristive Devices -- 5.2 Perceptrons -- 5.2.1 Single Layer Perceptron -- 5.2.2 Double Layer Perceptron -- Chapter 6: Neuromorphic Systems -- 6.1 Learning of Circuits Based on a Single Memristive Device -- 6.1.1 DC Mode -- 6.1.2 Pulse Mode -- 6.2 Training of Networks with Several Memristive Elements -- 6.3 Training Algorithms -- 6.4 Electronic Analog of the Part of the Nervous System of Pond Snail (Lymnaea Stagnalis) -- 6.4.1 Biological Benchmark -- 6.4.2 Experimentally Realized Circuit, Mimicking the Architecture and Properties of the Pond Snail Nervous System Part -- 6.5 Cross Talk of Memristive Devices During Signal Pathways Formation Process -- 6.6 Effect of Noise -- 6.7 Frequency Driven Short-Term Memory and Long-Term Potentiation -- 6.8 Spike-Timing-Dependent Plasticity (STDP) Learning in Memristive Systems -- 6.8.1 STDP in Circuits with Polyaniline-Based Memristive Devices -- 6.8.2 STDP in Circuits with Parylene-Based Memristive Devices -- 6.8.3 Classic Conditioning of Polyaniline-Based Memristive Devices Systems -- 6.8.4 Classic Conditioning of Parylene-Based Memristive Devices Systems -- 6.9 Coupling with Living Beings -- Chapter 7: 3D Systems with Stochastic Architecture -- 7.1 Free-Standing Fibrillar Systems -- 7.2 Stochastic Networks on Frames with Developed Structure -- 7.3 3D Stochastic Networks, Based on Phase Separation of Materials -- 7.3.1 Stabilized Gold Nanoparticles -- 7.3.2 Block Copolymer -- 7.3.3 Fabrication of 3D Stochastic Network -- 7.3.4 Training of Stochastic 3D Network, Based on Phase Separation of Materials -- 7.3.5 Evidence of 3D Nature of the Realized Stochastic System -- 7.4 Modeling of Adaptive Electrical Characteristics of Stochastic 3D Network -- 7.4.1 Single Memristive Device -- 7.4.2 Structure of the Network -- 7.4.3 Network Dynamics. 7.4.4 Modeling of Experimental Results, Obtained on 3D Stochastic Networks -- Conclusions -- References -- Index. |
Record Nr. | UNINA-9910523890903321 |
Erokhin Victor | ||
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Low Power Memory/Memristor Devices and Systems / / by Alex Serb, Adnan Mehonic (editors) |
Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
Descrizione fisica | 1 online resource (250 pages) |
Disciplina | 621.38154 |
Soggetto topico |
Memristors
Electric resistors |
ISBN | 3-0365-6186-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface to "Low Power Memory/Memristor Devices and Systems" vii -- A Novel Inductorless Design Technique for Linear Equalization in Optical Receivers 1 -- Towards Integration of a Dedicated Memory Controller and Its Instruction Set to Improve Performance of Systems Containing Computational SRAM 21 -- Silicon-Compatible Memristive Devices Tailored by Laser and Thermal Treatments 33 -- Design of In-Memory Parallel-Prefix Adders 55 -- A New Physical Design Flow for a Selective State Retention Based Approach 71 -- Energy-Efficient Non-Von Neumann Computing Architecture Supporting Multiple Computing Paradigms for Logic and Binarized Neural Networks 87 -- Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition 105 -- A Morphable Physically Unclonable Function and True Random Number Generator Using a Commercial Magnetic Memory 123 -- Continuous-Time Programming of Floating-Gate Transistors for Nonvolatile Analog Memory Arrays † 139 -- Logic-in-Memory Computation: Is It Worth It? A Binary Neural Network Case Study 161 -- Rediscovering Majority Logic in the Post-CMOS Era: A Perspective from In-Memory Computing 195 -- Graph Coloring via Locally-Active Memristor Oscillatory Networks 211. |
Record Nr. | UNINA-9910647231503321 |
[Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Memristor : an emerging device for post-Moore's computing and applications / / Yao-Feng Chang |
Autore | Chang Yao-Feng |
Pubbl/distr/stampa | London : , : IntechOpen, , 2021 |
Descrizione fisica | 1 online resource (178 pages) |
Disciplina | 621.38154 |
Soggetto topico | Memristors |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Memristor |
Record Nr. | UNINA-9910688497303321 |
Chang Yao-Feng | ||
London : , : IntechOpen, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Memristor : an emerging device for post-Moore's computing and applications / / edited by Yao-Feng Chang |
Pubbl/distr/stampa | London, England : , : IntechOpen, , [2021] |
Descrizione fisica | 1 online resource (178 pages) |
Disciplina | 621.38154 |
Soggetto topico | Memristors |
ISBN | 1-83968-957-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Memristor |
Record Nr. | UNINA-9910586673503321 |
London, England : , : IntechOpen, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|