双语双向拉伸式自我愈合神经元器件与自身感知
Rui Qiu1, Jiaxin Wang1, Qinqi Ren1
1School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China.
ACS nano
|June 29, 2023
概括
研究人员开发了一种新的双语双向人工神经istor阵列,模仿大脑功能. 这种自我愈合,可拉伸的电子设备推进了用于神经康复和神经机器人的神经形态计算.
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
- 神经科学是一个神经科学.
背景情况:
- 生物突触利用刺激性和抑制性神经递质进行复杂的通信,这对于适应和行为调节至关重要.
- 神经形态电子技术旨在复制这些双语功能,用于人工智能应用,如神经机器人和神经康复.
研究的目的:
- 提出和演示一个双语双向的人工神经istor阵列.
- 探索其模拟复杂的神经形态过程和神经功能的潜力.
主要方法:
- 通过范德瓦尔斯集成利用离子迁移和静电合在内在可拉伸和自我修复的聚氨酸) 弹性体与碳纳米管电极.
- 研究了不同操作阶段和机械应变下的神经电阻器行为.
主要成果:
- 神经istor阵列表现出双语双向反应,根据操作阶段表现出抑郁或强化.
- 获得四象限信息处理和自我愈合能力,在受伤后2小时内恢复.
- 在50%的机械应力下有效运行,并模拟神经信号传输和自身感知.
结论:
- 拟议的双语双向伸展自愈神经电阻器代表了神经形态电子学的重大进步.
- 它为开发下一代神经康复设备和神经机器人技术提供了一个有前途的平台.
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