Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

  • Manan Suri

Part of the Cognitive Systems Monographs book series (COSMOS, volume 31)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Selina La Barbera, Fabien Alibart
    Pages 17-43
  3. Cory Merkel, Dhireesha Kudithipudi
    Pages 45-64
  4. Young-Su Kim, Sang-Hak Shin, Jacopo Secco, Keyong-Sik Min, Fernando Corinto
    Pages 65-79
  5. Adrien F. Vincent, Nicolas Locatelli, Damien Querlioz
    Pages 81-107
  6. E. Vianello, D. Garbin, O. Bichler, G. Piccolboni, G. Molas, B. De Salvo et al.
    Pages 109-127
  7. Severin Sidler, Jun-Woo Jang, Geoffrey W. Burr, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo et al.
    Pages 129-149
  8. Damien Querlioz, Olivier Bichler, Adrien F. Vincent, Christian Gamrat
    Pages 197-210

About this book

Introduction

This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.

Keywords

Low-power Cognitive Hardware Memristor Neuromorphic Hardware Resistive Memory Technology Supervised and Unsupervised Learning

Editors and affiliations

  • Manan Suri
    • 1
  1. 1.Department of Electrical EngineeringIndian Institute of Technology DelhiNew DelhiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-3703-7
  • Copyright Information Springer (India) Pvt. Ltd. 2017
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering
  • Print ISBN 978-81-322-3701-3
  • Online ISBN 978-81-322-3703-7
  • Series Print ISSN 1867-4925
  • Series Online ISSN 1867-4933
  • About this book
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