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.

能够在全局地图透视图(GMP)之间无缝移动，例如查看地图或 从高处观看场景，以及第一人称视角(FFP)，例如在 沉浸在场景中的地面，对导航具有明显的重要性，更广泛地说，具有灵活性 换位思考。使用多学科方法，我们将研究神经结构， 支持这些转换的环境要素和空间表示。我们将发展 做出预测的神经网络模型将在啮齿类动物和人类的实验中进行测试，以及 使用该实验数据来为模型提供信息。