Optimized coding of natural self-motion by single and neural populations in early vestibular pathways: implications for perception and behaviour.

早期前庭通路中单个神经群体对自然自我运动的优化编码：对感知和行为的影响。

• 批准号: 388330
• 负责人: Chacron Maurice Jacques
• 金额: $ 74.23万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-09-01 至 2023-09-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=388330&lang=en
• 关键词: Computational Modeling; Neural Coding; Non-Human Primates; Self-Motion Processing; Vestibular System

As we move about in our environment during regular everyday activities (e.g., walking to work), we constantly rely on signals sent from our inner ear to our brain. Indeed, vestibular afferents there are activated by head movements (e.g., rotating the head

当我们在日常活动中在我们的环境中移动时（例如，步行上班），我们不断地依赖于从内耳发送到大脑的信号。事实上，那里的前庭传入神经是由头部运动激活的（例如，旋转头部