权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

CRCNS: Innovative technologies inspired by biosonar

CRCNS：受生物声纳启发的创新技术

基本信息

批准号：
7238581
负责人：
CYNTHIA F MOSS
金额：
$ 31.68万
依托单位：
UNIV OF MARYLAND, COLLEGE PARK
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-08-01 至 2009-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7238581
关键词：
3-Dimensional Acoustics Adaptive Behaviors Algorithms Animal Model Animals Behavior Behavioral Biological Biological Models Biomedical Research Chiroptera Communities Complex Computer Simulation Darkness Data Depth Development Devices Dimensions Disease Echolocation Electromyography Engineering Environment Exhibits Family Feedback Foundations Future Goals Health Human Hybrids Insecta Intercept Light Link Localized Mammals Measures Medical Medical Device Medicine Modeling Morphologic artifacts Motion Motor Nervous System Physiology Neuraxis Neurobiology Neurosciences Noise Pattern Play Prosthesis Radio Range Rehabilitation therapy Research Robot Robotics Role Sensory Signal Transduction Spatial Behavior System Systems Theory Techniques Technology Telemetry Upper arm Validation Vision Wing Wireless Technology Work base computerized data processing design feeding grasp indexing innovation innovative technologies instrumentation interdisciplinary approach light weight miniaturize motor control neural prosthesis neurophysiology relating to nervous system sensor simulation sonar theories tool vocalization way finding

项目摘要

DESCRIPTION (provided by applicant): Fundamental to health human function is the transformation of sensory information to motor commands for adaptive behaviors such as reaching, grasping, tracking, and steering in the environment. A more complete understanding of the mechanisms that support these vital functions of the nervous system will facilitate treatment and rehabilitation when they fail to develop normally or break down through disease. Our CRCNS project takes an innovative, multidisciplinary approach to advance technology and theory on this central problem in neurobiology and medicine, drawing on the coordinated efforts in engineering, systems neuroscience and computational modeling. Specifically, we propose to integrate miniaturized radio telemetry recordings, advanced signal processing, control systems theory, adaptive motor studies and spatial behaviors. Empirical studies will employ an animal model that has evolved a highly successful adaptive sonar-guidance system, the echolocating bat. This mammal actively controls a complex of motor behaviors, guided by dynamic, 3-D spatial information extracted from acoustic signals. We will collect, analyze, and interpret behavioral and neural recordings from a free-flying echolocating bat, and this data will be used in computational models of sensorimotor feedback control and spatial navigation through complex environments. This work will direct the development of new algorithms for adaptive control in robotics and applications in neuromorphic engineering. It will also lay the foundation for a wide range of biomedical applications, such as implantable neural prostheses, ultra-lightweight low power sensors, controllers, medical tool design, and sonar-based assistive medical devices.

描述(申请人提供)：健康人体功能的基础是将感觉信息转换为运动命令，以适应环境中的行为，如伸手、抓取、跟踪和转向。更全面地了解支持神经系统这些重要功能的机制，将有助于在神经系统无法正常发育或因疾病而崩溃时进行治疗和康复。我们的CRCNS项目采用创新的多学科方法，利用工程学、系统神经科学和计算建模方面的协调努力，推动关于神经生物学和医学这一中心问题的技术和理论的发展。具体地说，我们建议集成小型化无线电遥测记录、先进的信号处理、控制系统理论、自适应电机研究和空间行为。实验研究将使用一种动物模型，这种动物模型已经进化出一种非常成功的自适应声纳制导系统--回声定位蝙蝠。这种哺乳动物在从声音信号中提取的动态三维空间信息的指导下，主动控制一系列复杂的运动行为。我们将收集、分析和解释自由飞行的回声定位蝙蝠的行为和神经记录，这些数据将用于传感器运动反馈控制和复杂环境中的空间导航的计算模型。这项工作将指导机器人自适应控制新算法的开发和神经形态工程的应用。它还将为广泛的生物医学应用奠定基础，如植入式神经假体、超轻低功率传感器、控制器、医疗工具设计和基于声纳的辅助医疗设备。