Development and plasticity of the neural network for speech motor control

语音运动控制神经网络的发展和可塑性

• 批准号: RGPIN-2015-05803
• 负责人: Beal, Deryk
• 金额: $ 2.11万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=631516
• 关键词: Development; plasticity; neural; network; speech

Human speech production is a deceptively simple motor skill that the majority of people take for granted. In actuality, speech requires the complex sequencing of movements among the respiratory, laryngeal, pharyngeal and oromotor subsystems with millisecond level precision. Despite the unique role that speech plays in human interaction, and the debilitating impact of its disruption, little is known about the neural mechanisms underlying speech-motor learning and its development.

人类的言语产生是一种看似简单的运动技能，大多数人认为这是理所当然的。实际上，语音需要在呼吸、喉、咽和口腔子系统之间以毫秒级精度进行复杂的运动排序。尽管言语在人类互动中扮演着独特的角色，以及其中断的破坏性影响，但人们对言语运动学习及其发展的神经机制知之甚少。