Visual Neuroscience

视觉神经科学

• 批准号: CRC-2014-00083
• 负责人: Goodale, Melvyn
• 金额: $ 14.57万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695095
• 关键词: Visual; Neuroscience

The human hand is a remarkable piece of engineering. We humans can reach out and grasp objects with exquisite accuracy - far better than any robot. One of the things that make this possible is our keen sense of sight. Prof. Mel Goodale and his team are studying the different kinds of information that our visual system uses to guide the hand as it reaches out and grasps an object and how that information differs from that used to identify objects and recognize scenes. Prof. Goodale also uses functional magnetic resonance imaging (fMRI) to explore which parts of the brain are involved ineye-hand coordination and visual recognition. This work is not only providing basic information about how vision is used to control the human hand but is also helping in the design of better systems for controlling robot hands.

人类的手是一件了不起的工程学作品。我们人类能够以精致的精确度伸手抓住物体--远远好于任何机器人。使这成为可能的一件事是我们敏锐的视觉。梅尔·古代尔教授和他的团队正在研究我们的视觉系统用来引导手伸手和抓住物体的不同信息，以及这些信息与用于识别物体和识别场景的信息有何不同。古代尔教授还使用功能磁共振成像(FMRI)来探索眼手协调和视觉识别涉及大脑的哪些部分。这项工作不仅提供了关于视觉如何控制人类手的基本信息，还有助于设计更好的控制机器人手的系统。