Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications

Christos Volos received the Physics Diploma degree, the M.Sc. degree in electronics, and the Ph.D. degree in chaotic electronics from the Physics Department, Aristotle University of Thessaloniki, in 1999, 2002, and 2008, respectively. He is currently an Associate Professor with the Physics Department, Aristotle University of Thessaloniki, Greece and a member of the Laboratory of Nonlinear Circuits – Systems & Complexity (LaNSCom). Viet-Thanh Pham is the Director of Research at Faculty of Electrical and Electronic Engineering, Phenikaa Institute for Advanced Study (PIAS), Phenikaa University, Vietnam. He received the degree in electronics and telecommunications from the Hanoi University of Technology, Vietnam, in 2005, and the Ph.D. degree in electronics, automation and control of complex systems engineering from the University of Catania, Italy, in 2013. He was a postdoctoral researcher at the Division of Dynamics, Lodz University of Technology, Poland.

• Part I: Mem-elements and their emulators1. 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 oscillatorPart II: Applications of mem-elements13. 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