生物启发的人工突触晶体管:从创新的基本单元到系统集成的演变
Xin Wang1, Yixin Ran1, Xiaoqian Li2
1Frontier Institute of Science and Technology, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710054, P. R. China. guanghao.lu@mail.xjtu.edu.cn.
Materials horizons
|June 14, 2023
概括
使用晶体管的人工突触是类似大脑计算的关键. 本综述强调了新的设备设计和材料进步,以提高突触晶体管性能和神经形态工程中的系统集成.
科学领域:
- 神经形态工程的神经形态工程
- 材料科学 材料科学 材料科学
- 人工智能 硬件 硬件
背景情况:
- ·诺伊曼架构在处理爆炸性信息方面面临局限性,因为存储和计算是分开的.
- 基于晶体管的人工突触是大脑启发的计算的关键组成部分,模仿生物神经功能.
- 现有的研究表明,模拟神经功能是有希望的,但缺乏半导体特性,设备结构和突触性能之间的明确联系.
研究的目的:
- 审查半导体材料和突触晶体管设备的新型结构设计的最新进展.
- 探索半导体选择和设备架构对突触晶体管特性的影响.
- 讨论突触晶体管的系统级应用和相互连接的工作机制.
主要方法:
- 综合文献综述,重点关注突触晶体管设计的最新发展.
- 在半导体材料中分析结构属性关系,用于人工突触.
- 检查多设备系统集成和操作机制.
主要成果:
- 在设计突触晶体管的新型结构方面取得了重大进展,提高了它们的功能.
- 展示多功能突触器件及其集成到更大的互联系统中.
- 确定材料属性,设备架构和突触行为之间的关键关系.
结论:
- 新的结构设计和材料创新对于推进基于晶体管的人工突触至关重要.
- 将硬件设计与软件模拟相结合,对于高效的神经形态计算至关重要.
- 未来的研究应该解决强大的类似大脑的计算系统的突触互连中的挑战和机遇.
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