ACTIVE AND NONLINEAR MODELS FOR COCHLEAR MECHANICS

耳蜗力学的主动和非线性模型

• 批准号: 6379478
• 负责人: Karl Grosh
• 金额: $ 17.14万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-01 至 2004-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6379478
• 关键词: cochlea; computational neuroscience; ear hair cell; hearing; organ of Corti; cochlea; computational neuroscience; ear hair cell; hearing; organ of Corti

In order to better understand the hearing process, numerous efforts in cochlear modeling and physiological measurement have been undertaken. Understanding the process of normal auditory function holds the significant promise of assisting in the determination of the causes of hearing loss and tinnitus. Understanding the morphology and function of each component can lead the way to the development of better cochlear prostheses and diagnostic processes for noninvasive determination of disease. Biologically inspired designs for speech recognition and signal processing of non--auditory systems are also possible and could have a significant impact for applications other than hearing. Current research in cochlear mechanics is focussed on determining the source of the enhanced filtering and nonlinear compression seen in in vivo measurements. The hypothesis that an active amplification process is the source of the enhanced filtering has been studied widely since first proposed in 1948. In this grant a comprehensive, efficient numerical strategy for nonlinear and active macroscopic cochlear mechanics is proposed. Through this capability, a virtual laboratory for model testing will be developed capable of incorporating the most general nonlinear models for activity and geometric nonuniformity. Using a hybrid analytic and numeric approach the micromechanics of the Organ of Corti, especially the outer hair cells and their connecting structures, will be included in the global response modeling. These predictions will be compared to in vivo data obtained from physiological experiments. Experimental validation is a central focus of this modeling effort. Close ties to the physiological measurements is important to validate modeling parameters, most importantly the relation of the hypothesized transductions models to the endocochlear potential (or current). Controlled experiments will be used to both identify transducer model parameters (e.g., gains) and to validate/invalidate the hypothesis.

为了更好地理解听力过程，已经进行了许多人工耳蜗建模和生理测量的努力。 了解正常听觉功能的过程具有协助确定听力损失和耳鸣的原因的重要希望。了解每个成分的形态和功能可以使更好的耳蜗假体的发展和诊断过程，以无创确定疾病。具有生物学启发的设计，用于语音识别和非审计系统的信号处理也是可能的，并且可能对听力以外的应用产生重大影响。目前在人工耳蜗方面的研究重点是确定体内测量中看到的增强过滤和非线性压缩的来源。 自1948年首次提议以来，已经广泛研究了主动放大过程是增强过滤的来源的假设。在这笔赠款中，提出了针对非线性和主动宏观宏观人口可查力学的全面，有效的数值策略。 通过这种能力，将开发用于模型测试的虚拟实验室，能够纳入活动和几何不均匀性的最通用的非线性模型。 使用混合分析和数字方法，将包括Corti器官的微力学，尤其是外毛细胞及其连接结构，将包括在全球响应建模中。这些预测将与从生理实验获得的体内数据进行比较。 实验验证是这种建模工作的主要重点。 与生理测量的紧密联系对于验证建模参数很重要，最重要的是，假设的转导模型与内凝切电位（或电流）的关系。 受控的实验将用于识别换能器模型参数（例如增益）并验证/无效假设。