关键性和神经形态感应在一个单一的memorristor中
Zelin Ma1,2, Wanjun Chen1,2, Xucheng Cao1,2
1Research Center for Advanced Information Materials (CAIM), Huangpu Research & Graduate School of Guangzhou University, Guangzhou 510555, China.
Nano letters
|June 16, 2023
概括
电阻随机存取内存 (RRAM) 中的原子切换事件表现出关键的动态,使基于memristor的传感系统能够超越理论限制.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 神经科学是一个神经科学.
背景情况:
- 电阻随机访问存储器 (RRAM) 对于数据存储和神经形态计算至关重要.
- 纳米级导电丝的行为是RRAM功能的核心.
- 了解memristor切换动态是推动这些技术发展的关键.
研究的目的:
- 在成长过程中分析基于的memristors中的电流噪声.
- 研究原子切换事件的关键性和普遍性.
- 在生物灵感感官系统中探索memristor关键性的应用.
主要方法:
- 在基于的memristors中分析电流噪声.
- 在线丝生长过程中透路径形成的特征.
- 模拟使用memristor关键性的毛细胞功能.
- 一个单一的memristor传感原始的发展.
主要成果:
- 记忆器中的原子切换事件显示了无尺度的雪崩动态,表明了关键性.
- 开关动态表现出普遍性,独立于设备大小或材料特性.
- 记忆器的关键性被成功利用来模拟听觉毛细胞频率选择性.
- 一个基于memristor的新型传感器实现了超出Nyquist-Shannon极限的刺激表示.
结论:
- 由关键性支配的memristor切换动态为神经形态工程提供了新的途径.
- 展示的生物灵感感官应用突显了memristors在先进计算中的潜力.
- 这项研究将memristor的基本物理与传感和计算中的实际应用联系起来.
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