光热激活的人工神经形态突触
Brian W Blankenship1, Runxuan Li1, Ruihan Guo2
1Laser Thermal Laboratory, Department of Mechanical Engineering, University of California, Berkeley, California 94720, United States.
Nano letters
|September 19, 2023
概括
研究人员使用二氧化 (VO2) 薄膜开发了一种人工突触. 这种新的设备模仿神经记忆,通过调整其导电性与激光脉冲和电偏差,使得更快,可调节的神经形态计算.
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.
- 计算机工程 计算机工程
背景情况:
- 生物神经系统通过复杂的神经网络来处理信息并形成记忆.
- 人工智能和神经形态计算旨在使用固定动态硬件复制生物认知.
- 现有的硬件缺乏基于软件的神经网络中的动态适应性.
研究的目的:
- 开发一种具有可适应电阻性的概念验证人工突触.
- 将软件神经网络的可调节动态集成到硬件中.
- 为高级神经形态计算创建一个硬件组件.
主要方法:
- 利用VO2薄膜,利用光热诱导的局部相位过渡.
- 采用暂时调制的激光脉冲用于选择性导电性修改.
- 应用了变化的偏差电压,以诱导自我维持的朱尔加热用于存储内存.
主要成果:
- 在人工突触中获得了500的导电性修饰因子.
- 通过激光和电气偏差证明了选择性地点激活和内存存储.
- 突触在120纳秒以下完成了加热和冷却周期.
结论:
- 开发出的人工突触提供了可调节的动态,这对于先进的神经形态硬件至关重要.
- 在VO2中的光热相转换为可适应的突触功能提供了可行的机制.
- 这项技术推动了高效和可适应的人工智能系统的发展.
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