Neuro-inspired Computing Using Resistive Synaptic Devices
Softcover reprint of the original 1st ed. 2017
Book Details
Format
Paperback / Softback
ISBN-10
3319853686
ISBN-13
9783319853680
Edition
Softcover reprint of the original 1st ed. 2017
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 25th, 2018
Print length
269 Pages
Weight
482 grams
Dimensions
23.30 x 15.50 x 1.80 cms
Ksh 21,600.00
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This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration.
This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology.
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