How Visuospatial Memory Shapes Perception of Real-World Environments
How Visuospatial Memory Shapes Perception of Real-World Environments
批准号:
10659330
负责人:
Caroline Elizabeth Robertson
金额:
$41.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-07 至 2028-02-29
关键词:
AffectAgingAlzheimer&aposs DiseaseAnteriorAreaBehaviorBiological ModelsBrainBrain regionCodeDataDementiaEducational process of instructingEnvironmentFunctional Magnetic Resonance ImagingGrainHeadHealthHippocampusHumanIndividualKnowledgeLearningLifeMacular degenerationMemoryNatureNerve DegenerationNeurodegenerative DisordersNeurosciencesParticipantPatternPerceptionPopulationPublished CommentRehabilitation therapyResearchSaccadesSemanticsShapesSignal TransductionSteelStructureSupport SystemSymptomsSystemTestingVisionVisualVisual CortexVisual PerceptionVisual impairmentVisuospatialWilliams SyndromeWorkcortical visual impairmentdevelopmental diseaseexpectationexperiencehealthy aginginsightknowledge of resultsmembermultimodalityneuralnovelnovel strategiespredictive modelingresponseretinotopicspatial memoryvirtual realityvirtual reality headsetvisual processingvisual trackingway finding
中文摘要
项目摘要
神经科学中一个长期存在的难题是场景感知和空间记忆是如何
系统-在大脑中具有不同的地形-接口,以实现记忆引导
视觉行为。在场景感知的背景下,仍然存在两个关键的知识差距。第一,如何
当地环境的视觉空间记忆是否有助于正在进行的场景感知?第二,
记忆引导的场景知觉的神经基础是什么?
目前的项目将通过结合头盔虚拟现实来解决这些问题
(VR)、眼球跟踪和精细的受试者内功能磁共振成像。我们将教授参与者身临其境、
并测试内存引导的场景处理如何在
大脑和行为。在这样做的过程中,我们将提出一个关于神经的新的机械论假说
基于记忆的预测编码的基础,用于场景处理。
总而言之,这个项目将产生关于如何存储知识的基本知识
在自然主义的视觉体验中,关于世界的影响正在进行的感知,以及
大脑完成记忆引导的视觉行为,如导航。由此产生的知识
承诺对我们的许多健康状况产生影响,如阿尔茨海默氏症、痴呆症、黄斑
变性、皮质视觉障碍和健康衰老,在这些情况下,视觉行为
而这里研究的大脑区域也牵涉其中。
英文摘要
Project Abstract
One long-standing puzzle in neuroscience is how scene perception and spatial memory
systems – which are topographically distinct in the brain – interface to enable memory-guided
visual behavior. In the context of scene perception, two crucial knowledge gaps remain. First, how
does visuospatial memory of the local environment facilitate ongoing scene perception? Second,
what are the neural underpinnings of memory-guided scene perception?
The current project will tackle these questions by combining head-mounted virtual reality
(VR), eye-tracking, and fine-grained within-subject fMRI. We will teach participants immersive,
real-world environments and test how memory-guided scene processing is implemented in the
brain and behavior. In doing so, we will advance a new mechanistic hypothesis as to the neural
basis of memory-based predictive coding for scene processing.
Together, this project will produce fundamental knowledge about how stored knowledge
about the world influences ongoing perception during naturalistic visual experience, and how the
brain accomplishes memory-guided visual behaviors like navigation. The resulting knowledge
promises impact for our numerous health conditions such as Alzheimer’s, dementia, macular
degeneration, cortical visual impairments, and healthy aging, in which both the visual behaviors
and brain regions investigated here are implicated.
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