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portada Neuro-Inspired Computing Using Resistive Synaptic Devices
Type
Physical Book
Publisher
Language
English
Pages
269
Format
Hardcover
Dimensions
24.2 x 16.4 x 2.2 cm
Weight
0.66 kg.
ISBN13
9783319543123

Neuro-Inspired Computing Using Resistive Synaptic Devices

Yu, Shimeng (Author) · Springer · Hardcover

Neuro-Inspired Computing Using Resistive Synaptic Devices - Yu, Shimeng

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Synopsis "Neuro-Inspired Computing Using Resistive Synaptic Devices"

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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