Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
Published on 17. June 2021
568 pages
978-0-12-823202-6 (ISBN)
Description
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.
- Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence
- Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor)
- Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence
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Christos Volos | Viet-Thanh Pham
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications
Book
06/2021
Academic Press
€174.56
Shipment within 15-20 days
Content
Part I: Mem-elements and their emulators
1. The fourth circuit element was found: a brief history2. Implementing memristor emulators in hardware3. On the FPGA implementation of chaotic oscillators based on memristive circuits4. Microwave memristive components for smart RF front-end modules5. The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application6. Rich dynamics of memristor based Liénard systems7. Hidden extreme multistability generated from a novel memristive two-scroll chaotic system8. Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol-Duffing circuit: dynamical analysis and electronic implementation9. Memristor-based novel 4D chaotic system without equilibria10. Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller11. Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems12. Control of bursting oscillations in memristor based Wien-bridge oscillator
Part II: Applications of mem-elements
13. Memristor, mem-systems and neuromorphic applications: a review14. Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks15. Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices16. Nonvolatile memristive logic: a road to in-memory computing17. Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application18. Neuromorphic vision networks for face recognition19. Synaptic devices based on HfO2 memristors20. Analog circuit integration of backpropagation learning in memristive HTM architecture21. Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network22. Fuzzy memristive networks23. Fuzzy integral sliding mode technique for synchronization of memristive neural networks24. Robust adaptive control of fractional-order memristive neural networks25. Learning memristive spiking neurons and beyond
