Memristive devices for brain-inspired computing : from materials, devices, and circuits to applications - computational memory, deep learning, and spiking neural networks /: from materials, devices, and circuits to applications - computational memory, deep learning, and spiking neural networks. (2020)
- Record Type:
- Book
- Title:
- Memristive devices for brain-inspired computing : from materials, devices, and circuits to applications - computational memory, deep learning, and spiking neural networks /: from materials, devices, and circuits to applications - computational memory, deep learning, and spiking neural networks. (2020)
- Main Title:
- Memristive devices for brain-inspired computing : from materials, devices, and circuits to applications - computational memory, deep learning, and spiking neural networks
- Further Information:
- Note: Edited by Sabina Spiga, Abu Sebastian, Damien Querlioz, Bipin Rajendran.
- Editors:
- Spiga, Sabina
Sebastian, Abu
Querlioz, Damien
Rajendran, Bipin - Contents:
- Part I Memristive devices for brain–inspired computing 1. Role of resistive memory devices in brain-inspired computing 2. Resistive switching memories 3. Phase change memories 4. Magnetic and Ferroelectric memories 5. Selectors for resistive memory devices Part II Computational Memory 6. Memristive devices as computational memory 7. Logical operations 8. Hyperdimensional Computing Nanosystem: In-memory Computing using Monolithic 3D Integration of RRAM and CNFET 9. Matrix vector multiplications using memristive devices and applications thereof 10. Computing with device dynamics 11. Exploiting stochasticity for computing Part III Deep learning 12. Memristive devices for deep learning applications 13. PCM based co-processors for deep learning 14. RRAM based co-processors for deep learning Part IV Spiking neural networks 15. Memristive devices for spiking neural networks 16. Neuronal realizations based on memristive devices 17. Synaptic realizations based on memristive devices 18. Neuromorphic co-processors and experimental demonstrations 19. Recent theoretical developments and applications of spiking neural networks
- Publisher Details:
- Oxford : Woodhead Publishing
- Publication Date:
- 2020
- Extent:
- 1 online resource, illustrations (black and white, and colour)
- Subjects:
- 621.3815
Memristors
Electronic circuits - Languages:
- English
- ISBNs:
- 9780081027875
- Related ISBNs:
- 9780081027820
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.514165
- Ingest File:
- 03_096.xml