基于NdNiO3纳米晶片的memristors作为神经形态计算的神经神经元的感觉神经元
Jianhui Zhao1, Yunfeng Ran1, Yifei Pei2
1Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding 071002, People's Republic of China. xiaobing_yan@126.com.
Materials horizons
|August 9, 2023
概括
研究人员使用一种新的memristor开发了一种人工感官神经元. 这种由大脑启发的计算组件模仿人类神经元,可以处理光,从而实现新的AI应用.
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
背景情况:
- 人工神经系统旨在通过模仿人类大脑来提高计算效率.
- 神经系统中的感知能力对于先进的人工智能至关重要,但仍然不发达,对感觉神经元的研究有限.
研究的目的:
- 提出并构建一个具有感知能力的人工感官神经元.
- 通过创新的神经元设计,扩大类似大脑的神经计算的应用范围.
主要方法:
- 使用NdNiO3 (NNO) 纳米晶体制造一个光敏感的双极值切换记忆器.
- 在低功耗的情况下展示稳定的值切换行为.
- 使用光学输入实现了一个漏洞的整合和发射 (LIF) 神经元模型.
主要成果:
- 基于NNO的memristor表现出稳定的双极值切换,具有低设置功率 (120nW) 和在光下降的操作电压.
- 人工神经元成功地复制了关键的生物神经元功能,如全或零尖峰和频率调制.
- 光学输入允许神经元根据光密度调节尖峰频率.
结论:
- 基于NNO记忆元的拟议的人工感觉神经元,为神经形态计算提供了一个有前途的硬件实现.
- 这项技术可以实现高性能的人工智能系统,例如用于夜间海事援助的传感系统.
- 这项发展推动了感知存储和计算系统的构建.
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