学术交流
  • 交流简介
  • 引智基地
  • 开放课题
  • 讲座信息
  • 会议信息
  • Neural Mechanisms for Perceiving Object Motion During Self-motion
    自身运动中感知物体运动的神经机制

    报告人:Dr. Greg DeAngelis
    George Eastman Professor
    Dept. of Brain and Cognitive Sciences, University of Rochester
    美国罗切斯特大学 脑与认知科学系

    报告时间:2019年12月10日 (周二)9:00-10:30 am
    报告地点:北京师范大学 京师学堂大楼第三会议室(地下室一层)

    报告人简介:
    Greg DeAngelis studied Biomedical Engineering as an undergraduate at Boston University, and subsequently received his PhD in Bioengineering from the University of California at Berkeley, where he began to study neural mechanisms of visual processing. During a postdoctoral fellowship at Stanford University, he began to explore the relationships between neural activity and behavior in non-human primates. He began his academic career as a faculty member at Washington University School of Medicine, and later moved to the University of Rochester where he served as Chair of the Department of Brain and Cognitive Sciences for 9 years. He currently serves as a Senior Editor for the Journal of Neuroscience.

    报告摘要:
    Many organisms have highly evolved neural circuits for processing visual motion cues. However, most laboratory studies of visual motion perception are performed under highly simplified conditions in which there is no self-motion such that object motion in the world directly maps onto retinal image motion. Under many natural conditions, however, we must judge object motion during self-motion, which greatly complicates the problem. Thus, the brain needs to parse the complex pattern of retinal image motion into components that correspond to object motion and self-motion. In addition, to compute object motion in world coordinates, the brain must estimate self-motion and factor it into computations of object motion.  I will describe two studies that make important progress into understanding the visual and multi-sensory mechanisms by which the brain computes object motion during self-motion.  I will show that neural activity in macaque area MT reflects the operation of a “flow parsing” mechanism (which has been previously established in human psychophysics) that discounts global optic flow resulting from self-motion.  I will also show that neural activity in area VIP reflects flexible computation of object motion in either world- or head-centered coordinates.  Together, these studies begin to reveal critical neural processes that are involved in perceiving object motion under more natural conditions in which self-motion also occurs.