Computational studies of spatial motion estimation and motor planning in the primate brain

灵长类大脑空间运动估计和运动规划的计算研究

• 批准号: 376236-2010
• 负责人: Green, Andrea
• 金额: $ 2.19万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=484129
• 关键词: Computational; studies; spatial; motion; estimation

To execute accurate movements, maintain balance, navigate in space and perceive a visually stable world we rely critically on estimates of our self-motion and orientation. As we move, the central nervous system (CNS) integrates multiple sensory signals to estimate our spatial motion, combining and interpreting these signals as a function of the context in which they are sensed and how they will be used. My research investigates how the CNS creates these different self-motion representations and how they are used behaviorally. I address these questions using an interdisciplinary approach that combines experimental and computational techniques.

为了执行准确的运动，保持平衡，在空间中导航并感知视觉上稳定的世界，我们严格依赖于对自我运动和方向的估计。当我们移动时，中枢神经系统（CNS）整合多个感觉信号来估计我们的空间运动，将这些信号组合和解释为它们被感知的上下文以及它们将如何被使用的函数。我的研究调查了中枢神经系统如何创造这些不同的自我运动表征，以及它们如何在行为上被使用。我解决这些问题使用跨学科的方法，结合实验和计算技术。