FREQUENCY INTEGRATION IN THE AUDITORY CORTEX

听觉皮层的频率整合

• 批准号: 2331282
• 负责人: MITCHELL L SUTTER
• 金额: $ 9.62万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-02-01 至 2001-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2331282
• 关键词: auditory cortex; auditory threshold; cats; hearing; neural facilitation; neural information processing; neural inhibition; neuroanatomy; psychoacoustics; sound frequency

This project is designed to determine how parameters of acoustical signals are represented in the auditory cortex. It is known that damage to the auditory cortex can lead to large deficits in auditory localization, temporal processing, signal identification and speech processing. Understanding the representation of sounds in the cortex should help to treat diseases that damage the auditory cortex (such as strokes, epilepsy, tumors, and trauma) and to understand why these deficits occur. The proposal is specifically designed to study how cells in the primary auditory cortex (AI) and the posterior auditory field (PAF) of the cat integrate spectral and temporal information. These two fields have been chosen because of evidence that AI and PAF are part of distinct parallel information pathways in auditory cortex (Rouiller et al. 1991). We will test the hypothesis that spectral and temporal analysis are segregated along these pathways. For this proposal, the single neuron responses to tone pairs will be compared between ventral AI (AIv), dorsal AI (AId) and PAF. The proposed project's goals are (l) to characterize any physiologically-based subdivisions of PAF, based on multiple unit mapping of intensity and frequency tuning (2) determine functional segregation of analysis of temporal parameters related to scene analysis, (3) to determine the functional segregation of analysis of intensity parameters related to scene analysis, and (4) to determine potential differences in classes of sounds that might be analyzed by AId, AIv, and PAF cells. Preliminary evidence from three laboratories has demonstrated that understanding the second order nonlinearity is critical to solving how the brain analyzes sounds (Nelken et al. 1991; Shamma et al. 1993: Calhoun and Schreiner 1993). Pure tone responses are poor predictors of the response to complex sounds in part because of strong inhibition and facilitation not seen in cells' spike outputs to pure tones. The results from the proposed experiments will (l) characterize topographical maps in PAF beyond known tonotopy, (2) characterize the latency and duration of two-tone inhibition and facilitation in these subdivisions, (3) extensively characterize intensity analysis of spectral elements of complex stimuli by AIv, AId, and PAF neurons and (4) extensively characterize second order frequency tuning curves in these subdivisions. These results will aid in defining and characterizing the segregation of auditory cortical function with respect to multiple information bearing parameters of sound, and will be crucial for understanding how the cortex uses this information for auditory scene analysis.

本项目旨在确定声学信号的参数 都在听觉皮层中。据了解， 听觉皮层可导致听觉定位的大缺陷， 时间处理、信号识别和语音处理。 理解声音在大脑皮层中的表征， 治疗损害听觉皮层的疾病（如中风，癫痫， 肿瘤和创伤），并了解这些缺陷发生的原因。 该提案是专门设计来研究细胞如何在初级 听觉皮层（AI）和后听觉野（PAF） 整合光谱和时间信息。这两个领域已经 因为有证据表明AI和PAF是不同平行的一部分， 听觉皮层的信息通路（Rouiller等，1991）。我们将 检验频谱分析和时间分析分离的假设 沿着这些路径。对于这个提议，单个神经元响应于 将比较腹侧AI（AIv）、背侧AI（AId）和 PAF。拟议项目的目标是（l）描述任何 基于生理学的PAF细分，基于多单位映射 强度和频率调谐（2）确定功能隔离 分析与场景分析有关的时间参数，（3） 确定强度参数分析的功能隔离 与场景分析有关，以及（4）确定 AId、AIV和PAF细胞可能分析的声音类别。 三个实验室的初步证据表明， 理解二阶非线性对于解决 大脑分析声音（Nelken等，1991; Shamma等，1993：Calhoun和 Schreiner 1993）。纯音反应是不良的预测反应 复杂的声音，部分原因是强烈的抑制和促进 在细胞对纯音的尖峰输出中是看不到的。 从拟议的实验结果将（l）表征 地形图在PAF超越已知tonotopy，（2）表征 双音抑制和易化的潜伏期和持续时间 细分，（3）广泛表征光谱强度分析 AIv、AId和PAF神经元的复合刺激元素;（4） 广泛表征二阶频率调谐曲线在这些 细分。这些结果将有助于定义和表征 听觉皮层功能与多个 信息轴承参数的声音，并将是至关重要的 了解大脑皮层如何将这些信息用于听觉场景 分析.