Neural Correlates of Streaming of Complex Sounds

复杂声音流的神经关联

• 批准号: 8662740
• 负责人: Shihab A Shamma
• 金额: $ 40.74万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8662740
• 关键词: Accounting; Acoustics; Affect; Algorithms; Animal Behavior; Animals; Area; Attention; Auditory; Auditory area; Auditory system; Behavior; Behavioral; Binding; Brain; Characteristics; Cochlear Implants; Complex; Computer Simulation; Coupling; Detection; Devices; Diagnosis; Disease; Ferrets; Frequencies; Future; Goals; Grant; Health; Hearing; Hearing Aids; Human; Individual; Investigation; Knowledge; Lead; Light; Masks; Measures; Neurons; Neurosciences; Outcomes Research; Pattern; Perception; Performance; Peripheral; Play; Population; Process; Psychoacoustics; Psychophysics; Public Health; Research; Source; Stimulus; Stream; Systems Analysis; Testing; Voice; Work; auditory stimulus; base; behavior measurement; design; hearing impairment; innovation; neurophysiology; perceptual organization; receptive field; relating to nervous system; remediation; research study; response; selective attention; sound; speech recognition; visual stimulus

DESCRIPTION (provided by applicant): The long-term goal of this research is to explain how the auditory system analyzes complex acoustic "scenes", in which multiple sound "streams" (e.g., concurrent voices) interact and compete for attention. This project will investigate the influence of attention on neural responses to streams of simple and complex sounds. The approach involves a combination of simultaneous single-unit recordings and behavioral tasks in ferrets, and psychophysical measures in humans. Neural responses to sound streams will be measured in different fields of the ferret auditory cortex (spanning both primary or "core" and secondary or "belt" areas) under different attentional conditions, including both global and selective attention. The animal's attentional state will be manipulated using behavioral tasks inspired by psychophysical measures of auditory stream perception in humans. These tasks are designed in such a way that correct performance in them requires that the animal be able to attend selectively to one of the sound streams present, or globally to the whole auditory stimulus, or to a visual stimulus. By comparing neural responses under different attentional conditions, it will be possible to assess how attention influences neural responses to auditory streams in different parts of the auditory cortex and, more generally, whether and how neural representations of auditory streams are formed and processes in primary and secondary areas of auditory cortex. These neurophysiological and behavioral measures in ferrets will be paralleled and extended by psychoacoustical measures in humans, using the same or different stimuli and tasks. This will be done, firstly, for stimuli with simple spectral and temporal characteristics, i.e., pure-tone sequences (Specific Aim 1), in order to bridge the gap with earlier studies of the neural basis of auditory streaming. In the second half of the proposal (Specific Aim 2), this approach will be extended to spectrally complex tones, which are more ecologically relevant. This research has direct and significant health implications, because one of the most common complaints of hearing-impaired individuals (including wearers of hearing aids or cochlear implants) is that they find it difficult to separate concurrent streams of sounds, and to attend selectively to one of these streams (such as someone's voice) among other streams. A clearer understanding of the mechanisms underlying the perceptual ability to separate, and attend to, auditory streams will likely lead to a clearer understanding of the origin of these selective-listening difficulties, and it may inspire the design of more effective sound-separation algorithms for use in hearing aids, cochlear implants, and automatic speech recognition devices.

描述(申请人提供)：本研究的长期目标是解释听觉系统如何分析复杂的声学“场景”，在这些场景中，多个声音“流”(例如，并发语音)相互作用并争夺注意力。这个项目将调查注意力对简单和复杂声音串流的神经反应的影响。这种方法包括雪貂同时进行的单单位记录和行为任务，以及人类的心理物理测量。在不同的注意条件下，包括全局性注意和选择性注意，将在雪貂听觉皮质的不同区域(跨越初级或“核心”和次级或“带”区域)测量对声流的神经反应。动物的注意力状态将通过行为任务来操纵，这些任务受到人类听觉流感知的心理物理测量的启发。这些任务被设计成这样一种方式，即在它们中的正确表现要求动物能够选择性地注意到存在的声流中的一种，或整体地注意到整个听觉刺激，或视觉刺激。通过比较不同注意条件下的神经反应，将有可能评估注意如何影响听觉皮质不同部分对听流的神经反应，更一般地，评估听觉流的神经表征是否以及如何在听觉皮质的初级和次级区域形成和处理。雪貂的这些神经生理和行为测量将与人类的心理声学测量平行并扩展，使用相同或不同的刺激和任务。这将首先针对具有简单光谱和时间特征的刺激，即纯音序列(特定目标1)，以弥补与早期对听觉串流的神经基础的研究的差距。在提案的后半部分(具体目标2)，这一方法将扩展到与生态更相关的光谱复杂音调。这项研究具有直接和重大的健康影响，因为听力受损的人(包括佩戴助听器或人工耳蜗的人)最常见的抱怨之一是，他们发现很难分离并行的声音流，并选择性地从这些流中的一个流(如某人的声音)中注意到其他流。更清楚地了解分离和注意听觉流的感知能力背后的机制，可能会更清楚地理解这些选择性听力困难的根源，并可能激励设计更有效的声音分离算法，用于助听器、人工耳蜗和自动语音识别设备。