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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Neuro-inspired Computing Using Resistive Synaptic Devices
• Author: Shimeng Yu
• Language: English
• Binding: Hardback
• Number of pages: 269
• EAN: 9783319543123
• ISBN: 3319543121
• ID: 15802760
• Publisher: Springer International Publishing AG
• Weight: 704 g
• Dimensions: 235 × 155 × 20 mm
• Date of publishing: 04. May 2017

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