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基于脱离的 (In,Ga) N 薄膜的灵活光刺激的人工突触用于神经形态计算

Qianyi Zhang^1,2, Binbin Hou^3,4, Jianya Zhang⁵

¹College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, 210023, People's Republic of China.

|March 18, 2024

概括

使用 (In,Ga) N 薄膜的灵活的人工突触模仿生物学习和记忆功能. 这些稳定,可曲的突触装置显示了可穿戴智能和灵活的神经形态系统的潜力.

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:

灵活的人工突触对于下一代神经形态计算至关重要.
开发稳定和适应性的突触器件对于先进的人工智能至关重要.

研究的目的:

为了展示一个灵活的人工突触装置.
评估其学习,记忆和曲条件下的表现.
评估它在神经网络应用中的潜力.

主要方法:

使用提升 (In,Ga) N薄膜制造一个灵活的突触装置.
在平坦和曲状态下测试突触功能 (学习,忘记,重新学习).
使用实验性突触导电数据模拟一个三层神经网络.

主要成果:

该设备成功地模仿了生物学习,遗忘和重新学习.
它在曲下表现出稳定的刺激后突触电流.
模拟神经网络实现了90.2%的识别率.
该设备在曲下显示了从短期到长期记忆的过渡.

结论:

灵活的 (In,Ga) N突触装置表现出高稳定性和学习记忆能力.
这项技术具有可穿戴智能和灵活的神经形态系统的巨大潜力.

关键词:

人工突触是一种人造突触.灵活性灵活性灵活性起飞 (In,Ga) N 薄膜的使用情况神经形态计算是一种神经形态计算.

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