Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling.
As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields.
1. Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xv 7. Preface - p. xxi 8. Chapter 1 The fourth circuit element was found: a brief history - p. 3 9. Chapter 2 Implementing memristor emulators in hardware - p. 17 10. Chapter 3 On the FPGA implementation of chaotic oscillators based on memristive circuits - p. 41 11. Chapter 4 Microwave memristive components for smart RF front-end modules - p. 67 12. Chapter 5 The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application - p. 99 13. Chapter 6 Rich dynamics of memristor based Liénard systems - p. 125 14. Chapter 7 Hidden extreme multistability generated from a novel memristive two-scroll chaotic system - p. 147 15. Chapter 8 Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol–Duffing circuit: dynamical analysis and electronic implementation - p. 165 16. Chapter 9 Memristor-based novel 4D chaotic system without equilibria: Analysis and projective synchronization - p. 183 17. Chapter 10 Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller - p. 207 18. Chapter 11 Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems - p. 225 19. Chapter 12 Control of bursting oscillations in memristor based Wien-bridge oscillator - p. 249 20. Chapter 13 Memristor, mem-systems and neuromorphic applications: a review - p. 265 21. Chapter 14 Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks - p. 287 22. Chapter 15 Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices - p. 299 23. Chapter 16 Nonvolatile memristive logic: a road to in-memory computing - p. 325 24. Chapter 17 Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application - p. 347 25. Chapter 18 Neuromorphic vision networks for face recognition - p. 361 26. Chapter 19 Synaptic devices based on HfO2 memristors - p. 383 27. Chapter 20 Analog circuit integration of backpropagation learning in memristive HTM architecture - p. 427 28. Chapter 21 Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network - p. 439 29. Chapter 22 Fuzzy memristive networks - p. 461 30. Chapter 23 Fuzzy integral sliding mode technique for synchronization of memristive neural networks - p. 485 31. Chapter 24 Robust adaptive control of fractional-order memristive neural networks - p. 501 32. Chapter 25 Learning memristive spiking neurons and beyond - p. 517 33. Index - p. 528
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling.
As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields.
1. Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xv 7. Preface - p. xxi 8. Chapter 1 The fourth circuit element was found: a brief history - p. 3 9. Chapter 2 Implementing memristor emulators in hardware - p. 17 10. Chapter 3 On the FPGA implementation of chaotic oscillators based on memristive circuits - p. 41 11. Chapter 4 Microwave memristive components for smart RF front-end modules - p. 67 12. Chapter 5 The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application - p. 99 13. Chapter 6 Rich dynamics of memristor based Liénard systems - p. 125 14. Chapter 7 Hidden extreme multistability generated from a novel memristive two-scroll chaotic system - p. 147 15. Chapter 8 Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol–Duffing circuit: dynamical analysis and electronic implementation - p. 165 16. Chapter 9 Memristor-based novel 4D chaotic system without equilibria: Analysis and projective synchronization - p. 183 17. Chapter 10 Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller - p. 207 18. Chapter 11 Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems - p. 225 19. Chapter 12 Control of bursting oscillations in memristor based Wien-bridge oscillator - p. 249 20. Chapter 13 Memristor, mem-systems and neuromorphic applications: a review - p. 265 21. Chapter 14 Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks - p. 287 22. Chapter 15 Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices - p. 299 23. Chapter 16 Nonvolatile memristive logic: a road to in-memory computing - p. 325 24. Chapter 17 Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application - p. 347 25. Chapter 18 Neuromorphic vision networks for face recognition - p. 361 26. Chapter 19 Synaptic devices based on HfO2 memristors - p. 383 27. Chapter 20 Analog circuit integration of backpropagation learning in memristive HTM architecture - p. 427 28. Chapter 21 Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network - p. 439 29. Chapter 22 Fuzzy memristive networks - p. 461 30. Chapter 23 Fuzzy integral sliding mode technique for synchronization of memristive neural networks - p. 485 31. Chapter 24 Robust adaptive control of fractional-order memristive neural networks - p. 501 32. Chapter 25 Learning memristive spiking neurons and beyond - p. 517 33. Index - p. 528
