光诱导的负差电阻和神经振荡在神经形光学半导体微柱状感觉神经元中
Bejoys Jacob1, Juan Silva2, José M L Figueiredo3
1INL-International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga S/N, 4715-330, Braga, Portugal. bejoys.jacob@inl.int.
Scientific reports
|February 25, 2025
概括
研究人员使用模仿生物系统的半导体设备开发了一种人工神经元. 这种新的光电子神经元将光学数据编码为电信号,使超低功率智能边缘计算成为可能.
科学领域:
- 光电学是指光电子产品.
- 神经形态工程的神经形态工程
- 半导体物理 半导体物理
背景情况:
- 神经形态系统旨在有效处理现实世界的模拟数据,从而实现超低功率边缘计算.
- 人工神经元对于开发模仿自然神经网络的生物灵感计算架构至关重要.
- 半导体设备提供了小型化,高性能神经形态元件的潜力.
研究的目的:
- 介绍一种基于III-V半导体微柱量子共振道二极管 (RTD) 的新型人造感应振荡器神经元.
- 为了证明模拟光学数据的编码到时空电振荡.
- 探索超低功率传感器内智能边缘计算和生物启发应用的潜力.
主要方法:
- 一个III-V半导体微柱量子RTD与GaAs光敏感层的制造.
- 研究设备对近红外光的反应,重点关注负差电阻和电压振荡.
- 在脉冲调节光线下对受控爆发发射模式的演示,以模拟神经活动.
主要成果:
- 振荡光学神经元成功地将传入的模拟光学数据编码为时空电信号.
- 在特定强度范围内的近红外光激活会诱导大幅度的电压振荡.
- 激发和抑制突发发射模式在单个神经元内受到控制,模仿生物神经网络.
结论:
- 开发的振荡光学神经元能够放大感官光输入和实时处理.
- 时空振荡模式 (爆发) 是人工视觉系统中传感,预处理和编码的基础.
- 这项工作推动了III-V半导体纳米光电子电路的发展,用于光驱动的神经机器人,生物启发的光电子和内传感器神经形态计算.
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