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.

项目概要 这项研究的总体目标是更好地理解人类视觉系统，以及物体如何 它们的位置在大脑中被感知和表征。这些提议研究了一个基本原理。 我们视觉系统面临的挑战：视觉信息是相对于眼睛进行编码的，但眼睛 那么，我们如何实现空间稳定呢？ 每次眼球运动，但这种无缝感知相信一个复杂的计算过程。 空间定位不是一个孤立的过程；它与注意力、物体识别、深度感知、 记忆、认知控制等等为了理解视觉稳定性，我们需要考虑这两个因素。 空间信息如何通过眼球运动表示（或“重新映射”），以及空间信息如何 与这些其他过程相结合，先前奖项下的研究在两个关键方面取得了重大进展。 沿着这些方向的方向：理解二维空间信息如何与深度信息集成 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。 在这个研究计划的下一阶段，我们将以此为基础来研究空间和物体 眼球运动的稳定性——以及更广泛的整合——特别关注 在目标 1 中，我们采用功能磁共振成像-脑电图融合方法来实现动态上下文和自上而下的注意力控制。 研究视觉皮层和海马体的 3D 稳定性和物体整合，假设 动态、活跃的扫视环境可能会促进视觉整合和稳定性的增强。 发展 PI 的双聚光重映射理论（Golomb，2019）并探索自上而下的作用 最后，我们开发了一个新的基于模型的模型。 神经影像分析技术，使未来在这一一直难以处理的方面取得进展 问题（目标 3）。所提出的实验致力于继续改变我们对视觉的理解。 稳定性，特别是它如何与对我们至关重要的其他感知和认知过程相结合 这里提出的对人类感知和大脑功能的理解将立即产生影响。 影响我们对健康人群典型视觉功能的理解。 还可能对各种临床应用产生长期影响，为我们提供知识和信息 评估由眼部疾病、损伤、脑损伤和发育/衰老引起的视觉障碍。