WITHIN AND BETWEEN CHANNEL REPRESENTATIONS

渠道表示内部和之间

• 批准号: 2703612
• 负责人: VIRGINIA M RICHARDS
• 金额: $ 25.45万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2703612
• 关键词: auditory discrimination; auditory stimulus; auditory threshold; behavioral /social science research tag; human subject; loudness; mathematical model; model design /development; neural information processing; noise; psychoacoustics; sensory signal detection; sound frequency

DESCRIPTION: The objective of this research is to better understand the perception of complex acoustical stimuli. The auditory system has the property that incoming sounds are decomposed into different frequency channels. In contrast, our percepts are unified, depending on the integration of information across both frequency and time. The long- term objectives of the proposed research is to understand the integration of information across frequency. Of particular interest is the integration of level and temporal information, two features of broadband sounds encoded in frequency channels. This objective is addressed by comparing the result of psychophysical experiments and optimal statistical models of processing applied at the level of frequency channels. B jointly considering human performance predicted by optimal models, estimates of frequency selectivity for level and temporal tasks may be obtained. Then, the resulting models may be tested using increasingly complex tasks, tasks in which both level and temporal features of broadband stimuli are varied. To the degree that the sensitivity to changes in level and temporal features of broadband sounds are successfully modeled, comparisons with models derived for hearing impaired individuals can follow.

描述：本研究的目的是为了更好地了解 复杂的声音刺激的感知。 听觉系统有 传入声音被分解为不同频率的特性 渠道。 相比之下，我们的感知是统一的，取决于 跨频率和时间的信息整合。 长- 拟议研究的长期目标是了解 跨频率的信息整合。 特别感兴趣的是 水平信息和时间信息的整合，这两个特征 在频道中编码的宽带声音。 这个目标是 通过比较心理物理实验的结果和 应用在以下级别的最佳处理统计模型 频道。 B 共同考虑人类表现预测 通过最优模型，估计电平和频率选择性 可以获得临时任务。 然后，得到的模型可能是 使用越来越复杂的任务进行测试，其中级别和级别的任务 宽带刺激的时间特征是多种多样的。 达到这样的程度 对宽带电平和时间特征变化的敏感性 声音已成功建模，与导出的模型进行比较 听力障碍人士可以遵循。