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中文摘要
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描述(由申请者提供):该项目致力于提高我们对哺乳动物听觉系统中潜在的环境和通信声音编码机制的理解。对于人工声处理系统的工程师来说,从嘈杂的声音信号中提取与行为相关的信息仍然是一个相当大的挑战,而生物听觉系统似乎非常适合这种任务。了解生物系统中声音的正常编码将使我们能够设计更多功能更强的人工声音处理器,如助听器或助听器,以及适当地设计旨在与故障的人类听觉区域接口的听觉神经假体。我们研究常见的绒猴是因为它们是最会发声的灵长类物种之一,因为它们的听觉皮质结构与人类有相当大的相似之处。绒猴听觉皮质神经元对发声等宽带声音表现出复杂的、通常是非线性的反应。大多数这样的神经元只在相对较窄的频率范围内对窄带声音做出反应。我们试图通过一系列实验来确定,频率范围广泛的神经元输入至少对先前观察到的一些复杂反应负责。该项目的研究目标将通过以下具体目标来实现:1)测试光谱对比度调谐部分由神经元经典定义的感受野以外的频率介导的假设。这一发现将提供更有力的证据,证明研究人员之前描述的这些神经元在宽带背景噪声条件下优先工作。2)测试这样一种假设,即自然的、宽带的声音比过滤这些声音以匹配神经元的经典感受野时,会产生具有更多信息内容的尖峰信号,特别是对于对比度调整的神经元。视觉皮层神经元表现出这一特性,这表明神经元具有与自然视觉场景很好匹配的反应特性。如果这些假设得到证实,将意味着生物听觉系统可能在比先前估计的更宽的频率范围内整合声能。因此,为听力损失患者设计的人工系统可能能够利用这些生物启发的宽带编码方案,最终提高这些人在现实世界中的沟通能力。这个项目致力于我们的长期目标,通过评估灵长类听觉皮质中的神经元如何在广泛的频率上整合声音能量,来提高我们对哺乳动物听觉系统中环境和通信声音编码的潜在机制的理解。了解生物频率整合可能有助于工程师改进听觉假体设备,以改进自然日常环境中的声音编码,例如在嘈杂的房间中。
英文摘要
DESCRIPTION (provided by applicant): This project addresses our long-term goal to improve our understanding of the mechanisms underlying environmental and communication sound encoding in the mammalian auditory system. Extracting behaviorally relevant information from noisy acoustic signals remains a considerable challenge for engineers of artificial acoustic processing systems, while biological auditory systems seem exquisitely well-suited to such tasks. Understanding the normal encoding of sounds in biological systems will enable us to design more functional artificial sound processors such as hearing aids or hearing-assist devices, as well as to appropriately design auditory neural prostheses intended to interface with malfunctioning human auditory areas. We study common marmosets (Callithrix jacchus) because they are one of the most vocal primate species and because their auditory cortical structure bears considerable similarity to that of humans. Marmoset auditory cortical neurons have been shown to exhibit complex, often nonlinear, responses to wideband sounds such as vocalizations. Most such neurons respond to narrowband sounds only over a relatively narrow range of frequencies. We seek to establish through a series of experiments that neuronal inputs wide- ranging in frequency are responsible for at least some of the previously observed complex responses. The project's research goals will be pursued through the following specific aims: 1) Test the hypothesis that spectral contrast tuning is mediated, in part, by frequencies outside a neuron's classically defined receptive field. Such a finding would provide stronger evidence that these neurons, previously described by the investigator, operate preferentially in conditions of wideband background noise. 2) Test the hypothesis that natural, wideband sounds elicit spikes with more information content than when these sounds are filtered to match the neurons' classical receptive field, particularly for contrast-tuned neurons. Visual cortex neurons exhibit this property, which reveals that the neurons have response properties well-matched to natural visual scenes. If confirmed, these hypotheses would imply that biological auditory systems may be integrating sound energy over a wider frequency range than has been previously estimated. Consequently, artificial systems designed for individuals with hearing loss may be able to exploit these biologically-inspired, wideband coding schemes to ultimately improve these individuals' ability to communicate in real-world situations. This project addresses our long-term goal to improve our understanding of the mechanisms underlying environmental and communication sound encoding in the mammalian auditory system by evaluating how neurons in primate auditory cortex integrate sound energy over a wide range of frequencies. Understanding biological frequency integration may aid engineers in improving auditory prosthesis devices to improving sound encoding in natural everyday environments such as in a noisy room.
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Using Population Contrast Sensitivity Function Data to Develop Tunable Test Procedures
  • 批准号:
    10375287
  • 项目类别:
  • 资助金额:
    $26.12万
  • 财政年份:
    2022
  • 负责人:
    DENNIS L BARBOUR
  • 依托单位:
Using Population Contrast Sensitivity Function Data to Develop Tunable Test Procedures
  • 批准号:
    10580023
  • 项目类别:
  • 资助金额:
    $19.5万
  • 财政年份:
    2022
  • 负责人:
    DENNIS L BARBOUR
  • 依托单位:
Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience
  • 批准号:
    8678735
  • 项目类别:
  • 资助金额:
    $13.24万
  • 财政年份:
    2011
  • 负责人:
    DENNIS L BARBOUR
  • 依托单位:
Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience
  • 批准号:
    8877643
  • 项目类别:
  • 资助金额:
    $3.15万
  • 财政年份:
    2011
  • 负责人:
    DENNIS L BARBOUR
  • 依托单位:
海外基金