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:
| ISBN: | 9780750361675 |
| Publication date: | 6th January 2026 |
| Author: | Shaibal Mukherjee |
| Publisher: | IOP Publishing an imprint of Institute of Physics Publishing |
| Format: | Hardback |
| Pagination: | 296 pages |
| Series: | IOP Ebooks |
| Genres: |
Neural networks and fuzzy systems Electronic devices and materials Machine learning |
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.
Resistive Switching Systems for In-Memory Computation and Artificial Intelligence features in the following genres: Neural networks and fuzzy systems, Electronic devices and materials, Machine learning
Hardback. £108.00, down from the £120.00 cover price. Not Available.
Resistive Switching Systems for In-Memory Computation and Artificial Intelligence was written by Shaibal Mukherjee and published by IOP Publishing an imprint of Institute of Physics Publishing
Resistive Switching Systems for In-Memory Computation and Artificial Intelligence has 296 pages
Yes it is part of IOP Ebooks series
£108.00, reduced from £120.00. Not Available.