CRCNS: There and Back Again Linking Global Maps to First-Person Perspectives

CRCNS：将全球地图与第一人称视角联系起来

• 批准号: 10831113
• 负责人: Elizabeth Chrastil
• 金额: $ 40.77万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10831113
• 关键词: Address; Affect; Alzheimer' s Disease; Architecture; Area; Artificial Intelligence; Back; Behavior; Behavioral; Biological; Brain imaging; Cells; Cognitive; Computer Models; Cues; Data; Decision Making; Disorientation; Early identification; Environment; Experimental Designs; Goals; Human; Knowledge; Learning; Link; Location; Machine Learning; Maps; Memory; Modeling; Neural Network Simulation; Neurons; Organism; Paper; Persons; Play; Rattus; Reporting; Research; Research Proposals; Rodent; Stream; Symptoms; System; Testing; Translating; Work; cognitive function; cognitive task; disorder risk; experience; experimental study; flexibility; interdisciplinary approach; interest; memory recall; multidisciplinary; neural; neurophysiology; simulation

The ability to seamlessly move between global map perspectives (GMPs), such as looking at a map or taking in a scene from a high vantage point, and first-person perspectives (FPPs), such as being on the ground immersed in the scene, has obvious importance for navigation and, more broadly, flexible perspective-taking. Using a multidisciplinary approach, we will investigate the neural architectures, environmental features, and spatial representations that support these transformations. We will develop neural network models that make predictions to be tested in experiments with the rodent and human, and use that experimental data to inform the model.

在全球地图视角 (GMP) 之间无缝移动的能力，例如查看地图或 从高处和第一人称视角 (FPP) 观看场景，例如站在 地面沉浸在场景中，对于导航具有明显的重要性，更广泛地说，具有灵活性 观点采择。使用多学科方法，我们将研究神经架构， 环境特征以及支持这些转变的空间表示。我们将开发 做出预测并在啮齿动物和人类实验中进行测试的神经网络模型，以及 使用该实验数据来为模型提供信息。