通过排水-注入门-切换浮门晶体管记忆,通过自适应神经激活和神经形态处理.
Han Wang1, Yuanlong Lu1, Shangbo Liu1
1State Key Laboratory of Materials Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, 430074, China.
Advanced materials (Deerfield Beach, Fla.)
|November 13, 2023
概括
研究人员开发了一种新的2D范德瓦尔斯浮门晶体管 (FGT),能够模仿大脑神经元的功能. 这一突破使得自适应感官处理和低成本的神经形态计算成为可能.
科学领域:
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
- 电气工程 电气工程
背景情况:
- 大脑中的适应性信息处理和学习依赖于异种调节的神经激活.
- 传统的晶体管缺乏必要的值切换行为来模拟非线性神经激活和异质调节的功能.
- 以前用于突触功能的神经递质不能完全复制复杂的神经行为.
研究的目的:
- 开发一种能够模拟异质调节神经激活的新型晶体管,用于适应性信息处理.
- 为了证明使用这种晶体管用于脑启发的神经形态计算的可行性.
- 为了实现低硬件成本的自适应性感官处理.
主要方法:
- 2D范德瓦尔斯浮门晶体管 (FGT) 的制造,表现出的值切换行为.
- 使用冲击电离和合电荷注入到漂浮门的值切换.
- 实现神经模拟的整合和火和sigmoid类型激活函数.
- 为适应性任务提供光传感信号作为调制输入.
主要成果:
- 开发的FGT表现出的值切换行为,导电率在毫秒内增加了四个数量级.
- 晶体管成功模拟异质调节的神经元功能,包括整合和发射和西格莫伊德激活.
- 证明了适应性感官处理任务的实现,例如避免碰撞和使用光传感输入的适应性视觉感知.
- 在晶体管导电率中实现了30mV以下的dec-1的增加.
结论:
- 新的2D FGT成功模拟了生物神经元的关键异质调节行为.
- 这项技术为生物模拟神经形态处理铺平了道路,降低了硬件复杂性和成本.
- 这些发现为复制先进的人工智能应用的复杂神经功能提供了洞察力.
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