| 書目名稱 | Neuro-inspired Computing Using Resistive Synaptic Devices | | 編輯 | Shimeng Yu | | 視頻video | http://file.papertrans.cn/664/663831/663831.mp4 | | 概述 | Provides single-source reference to recent breakthroughs in resistive synaptic devices, not only at individual cell-level, but also at integrated array-level.Includes detailed discussion of the periph | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book Jun 20171st edition | | 關(guān)鍵詞 | neuro-inspired computing; resistive synaptic devices; Phase change memory; peripheral neuron circuits d | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-54313-0 | | isbn_softcover | 978-3-319-85368-0 | | copyright | Springer International Publishing AG 2017 |
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