Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

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)...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Suri, Manan (Editor)
Format: e-Book
Language:English
Published: New Delhi : Springer India : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Cognitive Systems Monographs, 31
Subjects:
Electronic circuits.
User interfaces (Computer systems).
Human-computer interaction.
Computational intelligence.
Microtechnology.
Microelectromechanical systems.
Electronic Circuits and Systems.
User Interfaces and Human Computer Interaction.
Computational Intelligence.
Microsystems and MEMS.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XIII, 210 p. 123 illus. online resource.
ISBN:9788132237037
ISSN:1867-4933 ;
DOI:10.1007/978-81-322-3703-7

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