NEURAL CORRELATES OF AUDITOR FILL IN

审核员填写的神经关联

• 批准号: 7959095
• 负责人: MITCHELL L SUTTER
• 金额: $ 3.56万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7959095
• 关键词: Acoustics; Auditory; Auditory Perception; Behavior; Behavioral; California; Complex; Computer Retrieval of Information on Scientific Projects Database; Decision Making; Environment; Funding; Grant; Human; Institution; Macaca; Measures; Neurons; Noise; Perception; Performance; Physiology; Primates; Research; Research Personnel; Resources; Signal Detection Analysis; Source; United States National Institutes of Health; Visual system structure; base; relating to nervous system; response; sound

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. A fundamental question is: How can one segregate and analyze a sound-producing object in a complex acoustic environment? By combining behavior and physiology, carefully framing the behavioral question, and using signal detection theory based analyses we will achieve three aims. Aim 1: To measure and compare macaque and human perceptions of fill-in. Aim 1 will be achieved by measuring macaques' and humans' abilities to detect the continuity of foreground sounds as a function of the duration of gaps inserted into them and the intensity of an interrupting noise. Aim 2: To determine neural correlates of fill-in using analyses that allow for direct comparisons of auditory cortical neurons' responses to the results of Aim 1. Aim 3: To determine the strength of association between neural responses and behavioral performance and decisions in multiple cortical fields. To achieve Aims 2 nd 3, signal detection theory based analyses--similar to analyses referred to in the previous paragraph about the visual system--will be used. Achieving the aims will significantly advance the understanding of neural responses contributions to auditory perceptions and decision-making.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 一个基本问题是：如何在复杂的声学环境中分离和分析发声物体？ 通过将行为和生理学相结合，仔细构建行为问题，并使用基于信号检测理论的分析，我们将实现三个目标。 目标 1：测量和比较猕猴和人类对填充的感知。 目标 1 将通过测量猕猴和人类检测前景声音连续性的能力来实现，该能力是插入间隙的持续时间和干扰噪声强度的函数。 目标 2：通过分析确定填充的神经相关性，从而可以直接比较听觉皮层神经元的响应与目标 1 的结果。 目标 3：确定多个皮质区域的神经反应与行为表现和决策之间的关联强度。 为了实现目标 2 和 3，将使用基于信号检测理论的分析——类似于上一段中提到的有关视觉系统的分析。 实现这些目标将显着增进对神经反应对听觉感知和决策的贡献的理解。