.png){kind=icon}
返回
Synaptic electronics and neuromorphic computing
.png){kind=icon}
PRE
AI
DOI：10.1007/s11432-016-5565-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to map the computing architecture and intelligent functions of the human brain on hardware, we need electronic devices that can emulate biological synapses and even neurons, preferably at the physical level. Beginning with the history of neuromorphic computation, in this article, we will briefly review the architecture of the brain and the learning mechanisms responsible for its plasticity. We will also introduce several memristive devices that have been used to implement electronic synapses, presenting some important milestones in this area of research and discussing their advantages, disadvantages, and future prospects.
Keyword:
memristors
neuromorphic engineering
RRAM
synapses
synaptic devices
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
4.9K
被引数:
8.9K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex关于尖峰时间依赖性可塑性，忆阻器件和构建自学习视觉皮层
OAAI
OAAI分享收藏
查看更多内容