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Neuro-inspired Computing Using Resistive Synaptic Devices | Shimeng Yu | Buch | xi | Englisch | 2017 | Springer International Publishing | EAN 9783319543123 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 109045582
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.
About the Author:
Title: Neuro-inspired Computing Using Resistive ...
Publisher: Springer International Publishing
Publication Date: 2017
Binding: Buch
Condition: Neu