Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem-elements for Neuromorphic Circuits and Artificial Intelligence Applications illustrates recent advances and achievements in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and especially in neuromorphic circuits and artificial intelligence. This book has a particular focus on mem-elements (memristor, memcapacitor, and meminductor) and their applications. It is mainly devoted to present the most recent results as well as critical aspects and perspectives of on-going research on relevant topics, all of them involving networks of mem-elements devices used in diverse applications. This book contributes to the discussion of memristive materials and transport mechanisms, to present various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling as an essential aspect of mem-elements research. The last decade the increasing interest of the research community for the recent advances on mem-elements and their applications in neuromorphic circuits and artificial intelligence will attract researchers of 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 intelligencePresents 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 INDICE: Section I 1. The Fourth Circuit Element was Found: A Brief History 2. Implementing Memristor Emulators in Hardware 3. On the FPGA Implementation of Chaotic Oscillators based on Memristive Circuits 4. Microwave Memristive Components for Smart RF Front-end Modules 5. The Modelling of Memcapacitor Oscillator Motion with ANN and its Nonlinear Control Application 6. Rich Dynamics of Memristor based Lienard Systems 7. Hidden Extreme Multistability Generated from a Novel Memristive Two-scroll Chaotic System 8. Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol-Duffing circuit: Dynamical analysis and electronic implementation 9. Memristor based novel 4D chaotic system without equilibria: Analysis and Projective Synchronization 10. An Absolute Memristor Helmholtz Oscillator: Dynamical Analysis, Electronic Implementation and Synchronization 11. Design Guidelines for Physical Implementation of Fractional Order Integrators and Its Application in Memristive Systems 12. Control of Bursting Oscillations in Memristor Based Wien-Bridge Oscillator Section II 13. Memristor, Mem-Systems and Neuromorphic Applications: A Review 14. Guidelines for Benchmarking Non-Ideal Analog Memristive Crossbars for Neural Networks 15. Bipolar Resistive Switching in Biomaterials: Case Studies of DNA and Melanin based BioMemristive Devices 16. Nonvolatile Memristive Logic: A Road to InMemory Computing 17. Implementation of Organic RRAM with Ink-Jet Printer: From Design to Using in RFID-Based Applications 18. Neuromorphic Vision Networks for Face Recognition 19. Synaptic Devices based on HfO2 Memristors 20. Analog Circuit Integration of Backpropagation Learning in Memristive HTM Architecture 21. Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network 22. Fuzzy Memristive Networks 23. Synchronization of Memristive Neural Networks Using a Novel Fuzzy Integral Sliding Mode Method 24. Robust Adaptive Control of Fractional-Order Memristive Neural Networks 25. Learning Memristive Spiking Neurons and Beyond

• ISBN: 978-0-12-821184-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/07/2021
• Nº Volúmenes: 1
• Idioma: Inglés