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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

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Éditeur :

Springer


Collection :

Cognitive Systems Monographs

Paru le : 2017-01-21

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Description

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.
Pages
210 pages
Collection
Cognitive Systems Monographs
Parution
2017-01-21
Marque
Springer
EAN papier
9788132237013
EAN PDF
9788132237037
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
13210 Ko
Prix
137,14 €
EAN EPUB
9788132237037
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
21
Taille du fichier
4874 Ko
Prix
137,14 €

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