估计耳频率选择性使用前向掩盖复合动力潜力的卷积模型.
François Deloche1, Satyabrata Parida2,3, Andrew Sivaprakasam3
1Department of Speech, Language, and Hearing Sciences, Purdue University, 715 Clinic Drive, West Lafayette, 47907, IN, USA. francois.deloche@ugent.be.
Journal of the Association for Research in Otolaryngology : JARO
|January 26, 2024
概括
一个新的卷积模型使用复合动作潜能 (CAP) 准确估计耳频率选择性. 这种少入侵的方法与听觉神经 (AN) 数据保持一致,为人类和动物的听觉处理提供了洞察力.
科学领域:
- 听觉神经科学 听觉神经科学
- 生物声学是一种生物声学.
- 信号处理 信号处理
背景情况:
- 听觉神经 (AN) 实验具有侵入性,限制了人类耳频率选择性研究.
- 带有前置掩盖的复合动作潜力 (CAP) 提供了一个不那么侵入性的替代方案.
- 以前的CAP方法依赖于经验AN比较,没有充分利用波形数据.
研究的目的:
- 使用CAPs开发一种改进的方法来估计耳频率选择性.
- 引入一个卷积模型来分析前向掩盖的CAP波形.
- 提高对外围听力系统功能的理解.
主要方法:
- 开发了一个卷积模型,以适应前向掩盖的CAP波形.
- 该模型通过卷曲的掩盖模式和单元响应来预测CAP掩盖.
- 模型参数,包括频率选择性,通过最大限度地减少波形预测错误来优化.
主要成果:
- 该模型被应用于中国猫中点击唤起的CAP.
- 估计的质量因子Q10与AN光纤调曲线非常相匹配.
- 没有经验纠正因子是需要准确的估计.
结论:
- 建立了一种适度侵入性的方法来估计耳频率选择性.
- 该方法显示了在人类和其他物种中应用的潜力.
- 该模型准确地适应了CAP的响应,并且可以研究复杂的听觉处理.
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