灵活的In-Ga-Zn-N-O突触晶体管用于超低功率的神经形态计算和基于EEG的大脑计算机接口
Shuangqing Fan1, Enxiu Wu2, Minghui Cao1
1College of Electronics and Information, Qingdao University, Qingdao 266071, China. jsu@qdu.edu.cn.
Materials horizons
|July 11, 2023
概括
灵活的In-Ga-Zn-N-O突触晶体管 (FIST) 可实现低功耗的大脑计算机接口 (BCI). 这些设备模仿神经功能,在对可穿戴应用的EEG信号进行分类方面表现出高精度.
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:
- 人工神经网络是大脑与计算机接口 (BCI) 的关键.
- 开发低功耗,灵活的设备对于可穿戴BCI至关重要.
- 现有的技术面临着电力消耗和耐用性方面的挑战.
研究的目的:
- 为了开发灵活的In-Ga-Zn-N-O突触晶体管 (FIST).
- 为了使高级BCI能够模拟生物神经功能.
- 为了实现可穿戴应用的超低功耗.
主要方法:
- 灵活的In-Ga-Zn-N-O突触晶体管 (FIST) 的制造.
- 在接近零的频道偏差下,优化超低功耗.
- 演示可调节的突触行为,用于学习模拟.
- 测试对环境暴露和曲变形的耐受性.
- 使用FIST阵列的视觉唤起的脑电图 (EEG) 信号的分类.
主要成果:
- FISTs成功模拟了基本和先进的生物神经功能.
- 实现了超低功耗,适用于可穿戴BCI.
- 可调节的突触行为促进了关联性和非关联性学习.
- 对环境条件和曲变形具有很高的耐受性.
- 在EEG信号分类中实现了高的识别准确性 (∼87.9%的EMNIST-Digits,∼94.8%的MindBigdata).
结论:
- FIST为低功耗,灵活的BCI设备提供了一个有前途的平台.
- 证明的神经功能和学习能力对于BCI进步具有重要意义.
- 对于长期的可穿戴BCI系统集成,FIST表现出强大的稳定性.
- 这些晶体管有很大的潜力影响未来的BCI开发.
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