多通道突触晶体管用于实现短期和长期记忆特征
Myung-Hyun Baek1, Hyungjin Kim2
1Department of Electronic Engineering, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea.
Biomimetics (Basel, Switzerland)
|August 25, 2023
概括
研究人员开发了一种新的四端突触晶体管,以克服硬件神经形态系统的局限性. 这种人工突触模仿生物功能,使先进的人工神经网络 (ANN) 算法.
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
- 计算机科学 计算机科学
背景情况:
- 人工神经网络 (ANN) 的进展依赖于像ReLU.LU这样的激活功能.
- ·诺伊曼架构限制了软件ANN (例如,CNN) 由于顺序处理.
- 硬件中的尖端神经网络 (SNN) 提供了一个解决方案,基于memristor的人工突触是关键.
研究的目的:
- 解决SNN硬件中双终端记忆器的限制.
- 提出一个四端突触晶体管,具有不对称的双门结构.
- 为神经形态计算开发具有增强功能的人工突触.
主要方法:
- 设计和制造了一种具有不对称双门结构的四端突触晶体管.
- 采用热载体注入 (HCI) 和福勒-诺德海姆 (FN) 道为重量调节.
- 利用多晶粒边界来整合短期记忆的特性.
主要成果:
- 拟议的设备可以作为人工突触,将输入信号乘以存储的重量.
- 通过HCI和FN道机制证明了重量调制.
- 通过使用多晶粒边界成功集成了短期记忆特征.
结论:
- 四端突触晶体管克服了memristors的偷偷电流和反信号问题.
- 该设备展示了短期和长期内存,对于复杂的ANN算法至关重要.
- 这种突触装置促进了高效硬件神经形态系统的发展.
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