| 书目名称 | Neuro-inspired Computing Using Resistive Synaptic Devices |
| 编辑 | Shimeng Yu |
| 视频video | |
| 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 |
| 图书封面 |  |
| 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 |
| 关键词 | 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 |
发表于 2025-3-21 19:36:02
