Investigating and modeling the perception of self-motion in the presence of independent object motion and the simultaneous perception of object motion with visual and non-visual cues

研究和建模存在独立物体运动的情况下的自运动感知以及具有视觉和非视觉线索的物体运动的同时感知

• 批准号: 469047940
• 负责人: Professor Dr. Markus Lappe
• 金额: --
• 依托单位: National Natural Science Foundation of China
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/469047940?language=en
• 关键词: Investigating; modeling; perception; self; motion

How do we perceive self-motion in the presence of independently moving objects? Conversely, how do we perceive object motion during self-motion? Much research has centered on one of these two related but opposing questions but very few studies have examined them together. It has been shown that the perception of the direction of self-motion (i.e., heading) can still be affected by an independently moving object even though observers can clearly perceive and segregate the object motion from the global image motion of the environment caused by self-motion (i.e., optic flow). Similarly, it has also been reported that the ability to identify scene-relative object movement is not limited by, or yoked to, the ability to perceive heading. This suggests that these two processes might happen at different levels of optic flow processing, but so far, no study has systematically examined this possibility and no computation modeling can capture the observed phenomena. In the current proposed research, we plan to address these questions. First, we will examine under what conditions observers segregate a moving object from the perception of heading. Second, we will examine how observers segregate a moving object from the optic flow/static world. Third, we will examine under what conditions observers combine multiple moving objects into a coherent ensemble and segregate it from the perception of heading. Fourth, we will examine how observers segregate multiple moving objects from the optic flow/static world. Last, using a virtual reality setup, we will examine the roles that non-visual information play in the perception of heading in the presence of independent moving objects and the perception of moving object during self-motion. We will computationally model the performance data to develop a comprehensive understanding of how the brain combines multimodal sensory cues for the perception of self-motion in the presence of moving objects and the perception of object motion during self-motion. The findings from the current project can inform the architecture of a model of the underlying neural mechanism responsible for different levels of optic flow processing.

在独立运动的物体面前，我们如何感知自我运动？相反，我们如何在自我运动中感知物体的运动？许多研究都集中在这两个相关但对立的问题之一，但很少有研究将它们放在一起研究。已经表明，对自运动方向的感知（即，航向）仍然可能受到独立移动的对象的影响，即使观察者可以清楚地感知对象运动并将其与由自运动引起的环境的全局图像运动分离（即，光流）。类似地，也已经报道了识别场景相对对象移动的能力不受感知航向的能力的限制或与感知航向的能力相结合。这表明这两个过程可能发生在光流处理的不同层次，但到目前为止，还没有研究系统地研究这种可能性，也没有计算模型可以捕捉到观察到的现象。在目前提出的研究中，我们计划解决这些问题。首先，我们将研究在什么条件下，观察者分离一个移动的对象的知觉的标题。其次，我们将研究观察者如何从光流/静态世界中分离出运动物体。第三，我们将研究在什么条件下观察者联合收割机结合成一个连贯的合奏，并从标题的看法分离它。第四，我们将研究观察者如何从光流/静态世界中分离多个移动物体。最后，使用虚拟现实设置，我们将研究的作用，非视觉信息中的标题存在的独立移动物体的感知和移动物体的感知过程中的自我运动。我们将计算模型的性能数据，以开发一个全面的理解，大脑如何结合多模态的感觉线索的自我运动的存在下，移动的物体和自我运动过程中的物体运动的感知。目前项目的发现可以为负责不同水平光流处理的潜在神经机制模型的架构提供信息。