基于efferent反的动态传感器适应适应生物启发的声音源定位
Steve Durstewitz1, Daniel Schmid2, Timo Oess2,3
1Group of Biomedical Sensor Systems and Microsystems, Universität Ulm, Ulm, Germany.
Frontiers in neuroscience
|February 13, 2026
概括
使用efferent反的传感器适应可以改善人工听觉系统的声音定位. 这种生物灵感的神经形态系统展示了反调节如何克服传感器不匹配,并影响神经反应以提高性能.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 生物启发工程 生物启发工程
背景情况:
- 听觉感知和定位对于生存至关重要,但人工系统落后于生物能力,特别是在复杂的环境中.
- 生物听觉系统中的一种机制,即情感反,被探索为一种增强人工听觉处理的方法.
- 现有的人工听觉系统在动态和杂的环境中扎,这限制了它们的声音定位准确性.
研究的目的:
- 为了调查是否传感器适应,驱动的efferent反,可以提高声音定位性能在人工听觉系统.
- 开发和分析一种神经形态系统架构,其灵感来源于人类间层次差异 (ILD) 处理和efferent反.
- 评估不同反配置对神经处理阶段的影响.
主要方法:
- 设计了一个带有两个生物灵感声学传感器和神经处理阶段 (MNTB和LSO神经元) 的神经形态系统.
- 分析涉及测量LSO神经元响应,在不同的ILD中具有和没有异性反.
- 模拟探索了从LSO神经元到声学传感器的四种反配置,使用合成生成的声音.
主要成果:
- 反调有效地弥补了MEMS传感器之间的制造引起的不匹配.
- 不同的反配置和模拟参数显著影响了LSO神经元对不同ILDs的反应.
- 该研究量化了不同反对听觉传感器性能和神经信号处理的影响.
结论:
- 情感反是一种可行的机制,可以提高人工听觉系统的性能和稳定性.
- 拟议的神经形态架构展示了生物灵感传感器适应的潜力,以改善声音定位.
- 对反机制的进一步研究可以导致更复杂的人工听觉感知系统.
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