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在铁电调制下通过可重新配置的神经形态视觉传感器启用对象运动检测.

Zhaoying Dang1,2,3, Feng Guo1,2, Zhaoqing Wang1,4

  • 1Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China.

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概括

这项研究引入了一种由生物细胞启发的新型视觉传感器,用于高效的物体运动检测 (OMD). 该设备实现零功耗和高精度,从而实现先进的神经形态计算应用.

关键词:
两维材料是二维材料.铁电是铁电的发电源.高线性非挥发性多态高线性多态神经形态视觉传感器的神经形态视觉传感器对象运动检测 检测 运动检测

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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:

  • 对象运动检测 (OMD) 要求减少冗余,提高功率效率,并精确编程以获得准确性.
  • 现有的系统难以满足这些需求,需要创新的解决方案.

研究的目的:

  • 提出一种新的物体运动检测 (OMD) 视觉传感器,其灵感来源于生物质细胞.
  • 为了实现零功耗,高精度和神经形态应用的突触重量模拟.

主要方法:

  • 开发了一种视觉传感器,使用由铁电共聚合物调节的WSe2同连接.
  • 实现了渐进式和双向的光电流产生,具有离散的多态.
  • 模拟的突触重量更新具有82个状态和高线性 (R^2的0.999).

主要成果:

  • 视觉传感器在零功耗下工作,产生多态光电流.
  • 证明了非挥发性,可逆性,对称性和超高线性 (0.01/-0.01非线性).
  • 在用于运动检测的神经网络中实现了96.8%的识别精度.

结论:

  • 拟议的OMD视觉传感器为运动检测提供了一个可控制和节能的平台.
  • 该设备模拟了突触可塑性,为先进的神经形态计算铺平了道路.
  • 通过3x3神经形态视觉传感器阵列展示了可扩展的潜力.