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This book provides a detailed review on neuromorphic system theory and its practical realization along with hardware-level implementations. This book will allow readers to understand the new fundamental concepts related to memristive systems and their ongoing and futuristic applications. In summary, this is a comprehensive description of emerging memristor memory technology with its fundamentals, behaviour modeling, physical modeling and potential applications. This book will facilitate classroom adaptations, and its content makes it suitable for advanced diploma, under-graduate and post-graduate courses in various universities.
Key Features:
- Includes fundamental theoretical concepts as well as materials and device properties, physical and analytical modelling, algorithmic aspects, circuits, and architectures.
- Encompasses a broad range of applications such as brain-inspired computing, in-memory computation tasks, logic circuit realization and image computation and processing.
- Interdisciplinary approach embracing material science, VLSI circuit and systems, electrical and computer engineering, mathematics and physics.
Preface
Acknowledgments
Author biography
1 Introduction to resistive switching devices
2 Integrated selector-based resistive random-access memory (RRAM) and memristors
3 Memristive devices in brain-inspired computing
4 Memristive devices as computational memory
5 Memristor-based in-memory logic operation and applications
6 Vector multiplications using memristive devices
7 Stochasticity in memristive systems
8 Integration of neuromorphic chips at the system level
9 Memristive systems in image processing and artificial intelligence