CRCNS: Avian Model for Neural Activity Driven Speech Prostheses

CRCNS：神经活动驱动言语假肢的鸟类模型

• 批准号: 10216216
• 负责人: TIMOTHY Q GENTNER
• 金额: $ 33.33万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10216216
• 关键词: Acoustics; Algorithms; Anatomy; Animal Model; Animals; Area; Artificial Intelligence; Basic Science; Behavior; Behavioral; Birds; Brain; Cell Nucleus; Characteristics; Clinical Research; Clinical assessments; Communication; Communities; Complement; Complex; Comprehension; Computer Interface; Computer software; Computers; Course Content; Data; Data Science; Data Set; Development; Diagnosis; Disease; Educational Materials; Educational workshop; Electrodes; Engineering; Evaluation; Feedback; Finches; Future; Generations; Goals; High School Outreach; High School Student; Human; Implant; Individual; Infrastructure; Injury; Instruction; Knowledge; Language; Language Disorders; Larynx; Learning Module; Limb Prosthesis; Limb structure; Limes; Machine Learning; Maps; Methods; Modeling; Motor; Motor Cortex; Neurodegenerative Disorders; Neurosciences; Outcome Measure; Output; Patients; Performance; Play; Prevention; Principal Investigator; Production; Prosthesis; Quadriplegia; Recording of previous events; Research; Robot; Role; Running; Self-Help Devices; Signal Transduction; Songbirds; Space Models; Speech; Speech Development; Students; System; Techniques; Technology; Testing; Time; Translating; Translations; Upper Extremity; Voice; Work; auditory feedback; base; bird song; brain computer interface; brain machine interface; data sharing; design; effectiveness testing; functional electrical stimulation; functional restoration; graduate student; hackathon; high school; human subject; improved; large datasets; machine learning algorithm; meetings; mind control; model development; motor control; multidisciplinary; neural model; neural prosthesis; neurodevelopment; neurophysiology; neurotransmission; nonhuman primate; novel; open source; operation; programs; relating to nervous system; repository; response; signal processing; success; undergraduate student; vocal learning; vocalization; web site

Understanding the physical, computational, and theoretical bases of human vocal communication, speech, is crucial to improved comprehension of voice, speech and language diseases and disorders, and improving their diagnosis, treatment and prevention. Meeting this challenge requires knowledge of the neural and sensorimotor mechanisms of vocal motor control. Our project will directly investigate the neural and sensorimotor mechanisms involved in the production of complex, natural, vocal communication signals. Our results will directly enhance brain-computer interface technology for communication and will accelerate the development of prostheses and other assistive technologies for individuals with communications deficits due to injury or disease. We will develop a vocal prosthetic that directly translates neural signals in cortical sensorimotor and vocal-motor control regions into vocal communication signals output in real-time. Building on success using non-human primates for brain computer interfaces for general motor control, the prosthetic will be developed in songbirds, whose acoustically rich, learned vocalizations share many features with human speech. Because the songbird vocal apparatus is functipnally and anatomically similar to the human larynx, and the cortical regions that control it are closely analogous to speech motor-control areas of the human brain, songbirds offer an ideal model for the proposed studies. Beyond the application of our work to human voice and speech, development of the vocal prosthetic will enable novel speech-relevant studies in the songbird model that can reveal fundamental mechanisms of vocal learning and production. In the first stage of the project, we collect a large data set of simultaneously recorded neural activity and vocalizations. In stage two, we will apply machine learning and artificial intelligence techniques to develop algorithms that map neural recordings to vocal output and enable us to estimate intended vocalizations directly from neural data. In stage three, we will develop computing infrastructure to run these algorithms in real-time, predicting intended vocalizations from neural activity as the animal is actively producing these vocalizations. In stage four, we will test the effectiveness of the prosthetic by substituting the bird's own vocalization with the output from our prosthetic system. Success will set the stage for testing of these technologies in humans and translation to multiple assistive devices. In addition to our research goals, the project will engage graduate, undergraduate, and high school students through the development of novel educational modules that introduce students to brain machine interface and multidisciplinary studies that span engineering and the basic sciences. RELEVANCE (See instructions): Developing a vocal prosthesis will directly enhance brain-computer interface technology for communication and accelerate the realization of prostheses and other assistive technologies for individuals with communications deficits due to injury or disease. The basic knowledge of the neural and sensorimotor mechanisms of vocal motor control acquired will impact understanding of multiple voice, speech, and language diseases and disorders. The techniques developed will enabling novel future studies of vocal production and development.

理解人类声音交流的物理，计算和理论基础，演讲， 对于改善对声音、言语和语言疾病和障碍的理解至关重要， 改善他们的诊断、治疗和预防。应对这一挑战需要了解 发声运动控制的神经和感觉运动机制。我们的项目将直接研究 和感觉运动机制参与了复杂的、自然的、声音的交流 信号.我们的研究结果将直接增强用于通信的脑机接口技术， 加快为残疾人开发假肢和其他辅助技术 由于受伤或疾病导致的沟通障碍。我们将开发一种发音假肢， 皮层感觉运动和发声运动控制区的神经信号转化为发声通信信号 实时输出。利用非人类灵长类动物作为脑机接口的成功基础， 一般运动控制，假肢将在鸣禽，其声学丰富，学习 发声与人类语言有许多共同的特征。因为鸣禽的发声器官 在功能和解剖学上与人类喉部相似，控制它的皮质区域与人类的喉部密切相关。 类似于人类大脑的语言运动控制区域，鸣禽提供了一个理想的模型， 建议的研究。除了将我们的工作应用于人类的声音和言语之外， 声音假体将使新的语音相关研究在鸣禽模型，可以揭示 发声学习和发声的基本机制。在项目的第一阶段，我们收集了 同时记录神经活动和发声的大数据集。在第二阶段，我们将申请 机器学习和人工智能技术，以开发将神经记录映射到 声音输出，使我们能够直接从神经数据估计预期的发声。在第三阶段，我们 将开发计算基础设施来实时运行这些算法，预测预期的发声 因为动物正在积极地发出这些声音。在第四阶段，我们将测试 通过用我们假肢的输出代替鸟自己的发声来提高假肢的有效性 系统成功将为这些技术在人类身上的测试和向多个领域的转化奠定基础。 辅助设备。除了我们的研究目标，该项目将从事研究生，本科生， 通过开发新颖的教育模块，向学生介绍 脑机接口和跨工程和基础科学的多学科研究。 相关性（参见说明）： 开发发声假体将直接增强用于通信的脑机接口技术 加快实现假肢和其他辅助技术， 由于受伤或疾病导致的沟通障碍。神经和感觉运动的基础知识 获得的发声运动控制机制将影响对多种声音、言语和 语言疾病和障碍。该技术的发展将使新的未来研究的声乐 生产和发展。