Mechanisms for producing complex sounds

产生复杂声音的机制

基本信息

批准号：
8600256
负责人：
FRANZ GOLLER
金额：
$ 27.84万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-07-15 至 2016-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8600256
关键词：
Acoustics Address Air Sacs Animal Model Automobile Driving Beak Behavior Biological Models Biomechanics Birds Characteristics Code Complex Data Deterioration Development Devices Differential Equation Electric Stimulation Electronics Elements Equation Excision Feedback Foundations Frequencies Generations Gestures Grant Human Instruction Knowledge Larynx Maintenance Measurement Modeling Monitor Motor Muscle Nerve Organ Outcome Output Pattern Peripheral Physiological Process Production Property Prosthesis Research Role Signal Transduction Songbirds Source Speech Syringes System Techniques Testing Theoretical model Time Work analog auditory feedback base bird song improved insight mathematical model motor control neuromuscular neuroregulation pressure prevent prototype public health relevance relating to nervous system research study respiratory restraint somatosensory sound sound frequency vocal control vocal learning zebra finch

项目摘要

DESCRIPTION (provided by applicant): The proposed research aims to gain a comprehensive understanding of the motor mechanisms involved in the generation of complex sounds. Particular emphasis is placed on the most widely used animal model system for learned vocal behavior, the zebra finch, whose song is characterized by a broad range of acoustic features from tonal sounds to complex spectral content. A combination and interaction of theoretical and experimental approaches is used to unravel the peripheral mechanisms of generation of this range of sound characteristics. The interactive approach involves recording of physiological data (electromyograms and air sac pressure) to drive the models and syringeal muscle stimulation experiments to test predictions of the modeling work. Based on these refinements of the computational approach, a prototype of an electronic syrinx, implementing the differential equations of the models, will be modified to reproduce zebra finch song. This electronic syrinx will be controlled by the neural instructions for song production (muscle activation patterns and respiratory pressure), which can be monitored in the singing bird and used for on-line generation of sound. This subject-controlled vocal prosthesis is then used to generate acoustic output in muted birds, with the potential for experimentally manipulating song characteristics, to test which acoustic features are required as information from auditory feedback for maintenance of song.

描述（由申请人提供）：拟议的研究旨在对复杂声音产生所涉及的运动机制进行全面的了解。特别强调的是用于学习的声带行为最广泛使用的动物模型系统，斑马鳍的歌曲的特征是从音调声音到复杂的光谱内容的广泛声学特征。理论和实验方法的结合和相互作用用于揭示这种声音特征的产生的外围机制。交互式方法涉及记录生理数据（肌电图和空气囊压力），以驱动模型和注射肌肉刺激实验，以测试建模工作的预测。基于计算方法的这些改进，将修改电子syrinx的原型，即实现模型的微分方程，以重现斑马雀科。该电子SYRINX将由歌曲产生的神经指令（肌肉激活模式和呼吸压力）控制，可以在Singing Bird中监测，并用于在线生成声音。然后使用这种主题控制的声音假体在静音鸟类中产生声学输出，并具有实验操纵歌曲特征的潜力，以测试哪些声学特征作为听觉反馈中的信息，以维持歌曲的维护。