Neural and perceptual mechanisms of spatial stability across eye movements

眼球运动空间稳定性的神经和感知机制

• 批准号: 10427380
• 负责人: Julie D Golomb
• 金额: $ 37.91万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10427380
• 关键词: 3-Dimensional; Affect; Aging; Attention; Award; Back; Behavior; Binding; Blindness; Brain; Brain Injuries; Code; Cognitive; Complex; Depth Perception; Development; Electroencephalography; Environment; Eye; Eye Movements; Eye diseases; Functional Magnetic Resonance Imaging; Future; Goals; Grant; Hippocampus (Brain); Human; Injury; Knowledge; Light; Link; Location; Macular degeneration; Memory; Mental Depression; Modeling; Ocular Prosthesis; Pattern; Perception; Play; Population; Positioning Attribute; Process; Research; Resolution; Retina; Role; Saccades; Schizophrenia; Strabismus; Techniques; Time; Update; Vision; Vision Disorders; Visual; Visual Cortex; Visual Perception; Visual system structure; Visually Impaired Persons; attentional control; autism spectrum disorder; base; clinical application; cognitive control; cognitive process; experience; experimental study; functional magnetic resonance imaging/electroencephalography; improved; neglect; neuroimaging; object perception; object recognition; programs; rapid eye movement; relating to nervous system; retinotopic; temporal measurement; theories; tool; visual cognition; visual information; visual neuroscience; visual processing

Project Summary The overarching goal of this research is to better understand the human visual system, and how objects and their locations are perceived and represented in the brain. The proposal investigates a fundamental challenge for our visual systems: Visual information is coded relative to the eyes, but the eyes are constantly moving. How, then, do we achieve spatial stability? The world does not appear to “jump” with each eye movement, but this seamless percept belies a complicated computational process. Moreover, spatial localization is not an isolated process; it interacts with attention, object recognition, depth perception, memory, cognitive control, and more. In order to understand visual stability, we need to account for both how spatial information is represented (or “remapped”) across eye movements, and how spatial information is integrated with these other processes. Research under the prior award made strong strides in two key directions along these lines: understanding how 2D spatial information is integrated with depth information to consider spatial stability in 3D, and revealing how spatial remapping impacts feature/object perception. In the next stage of this research program, we build on this momentum to investigate spatial and object stability across eye movements – and their integration more broadly – with a special focus on the roles of dynamic context and top-down attentional control. In Aim 1 we employ an fMRI-EEG fusion approach to investigate 3D stability and object integration in visual cortex and the hippocampus, hypothesizing that dynamic, active saccade context may promote enhanced visual integration and stability. Next, we further develop the PI’s Dual-Spotlight Theory of remapping (Golomb, 2019) and explore the role of top-down attentional control in remapping and perceptual stability (Aim 2). Finally, we develop a new model-based neuroimaging analysis technique to enable future progress on persistently less tractable aspects of this question (Aim 3). The proposed experiments strive to continue to transform our understanding of visual stability, particularly how it interfaces with other perceptual and cognitive processes that are central to our understanding of human perception and brain function. The research proposed here will have an immediate impact on our understanding of typical visual functioning in healthy human populations. These advances could also have a longer-term impact on a variety of clinical applications, informing our knowledge and assessment of visual disorders resulting from eye disease, injury, brain damage, and development/aging.

项目摘要 这项研究的总体目标是更好地了解人类的视觉系统，以及对象如何 他们的位置在大脑中被感知和代表。该提案调查了一个基本 对视觉系统的挑战：视觉信息相对于眼睛编码，但眼睛是 不断移动。那么，我们如何实现空间稳定性？世界似乎没有与 每个眼动，但是这种无缝的感知掩盖了复杂的计算过程。而且， 空间定位不是一个孤立的过程。它与注意力，对象识别，深度感知相互作用， 记忆，认知控制等等。为了理解视觉稳定性，我们需要同时考虑 如何在眼动中表示空间信息（或“重新映射”），以及如何空间信息 与这些其他过程集成在一起。根据先前奖项的研究在两个关键方面取得了很大的进步 沿着这些行的方向：了解如何将2D空间信息与深度信息集成在一起 考虑3D中的空间稳定性，并揭示空间重新映射如何影响特征/对象感知。 该研究计划的下一个阶段，我们以这种势头为基础，以调查空间和对象 跨眼动的稳定性及其更广泛的整合 - 特别关注 动态上下文和自上而下的注意力控制。在目标1中，我们采用fmri-eeg融合方法 研究视觉皮层和海马中的3D稳定性和对象积分，假设是 动态，主动的扫视环境可能会促进增强的视觉整合和稳定性。接下来，我们进一步 开发PI的二点重映射理论（Golomb，2019年），并探索自上而下的作用 重新映射和感知稳定性方面的注意控制（AIM 2）。最后，我们开发了一个新的基于模型的 神经影像学分析技术，以使未来的进展在此方面持续不太挑剔的方面 问题（目标3）。提出的实验努力继续改变我们对视觉的理解 稳定性，尤其是它如何与我们的其他感知和认知过程相连 了解人类的感知和大脑功能。这里提出的研究将立即 影响我们对健康人群中典型视觉功能的理解。这些进步 也可能对各种临床应用产生长期影响，告知我们的知识和 评估因眼病，损伤，脑损伤和发育/衰老而导致的视觉疾病。