Leveraging visual fidelity to understand the neural mechanisms responsible for remembering images and objects

利用视觉保真度来理解负责记住图像和物体的神经机制

• 批准号: 10275796
• 负责人: NICOLE C RUST
• 金额: $ 46.6万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10275796
• 关键词: Address; Animal Model; Area; Behavior; Brain; Data; Data Analyses; Dementia; Disease; Familiarity; Family; Goals; Hippocampus (Brain); Home; Human; Image; Impairment; Instruction; Investigation; Lead; Macaca mulatta; Memory; Methods; Modeling; Monkeys; Patients; Pattern; Performance; Primates; Reporting; Resolution; Shapes; Structure; System; Techniques; Temporal Lobe; Testing; Time; Visual; Work; age related; design; entorhinal cortex; experimental study; flexibility; human subject; improved; individual response; inferotemporal cortex; memory recognition; neural model; neuromechanism; novel; relating to nervous system; response; tool; visual memory

PROJECT SUMMARY Our ability to remember the images that we have encountered is remarkable - we can correctly determine whether we have seen an image before after viewing thousands, each only for a few seconds. While we have some understanding of the brain areas involved in supporting ‘visual recognition memory’ (including inferotemporal cortex (IT), perirhinal cortex and the hippocampus), the specific contributions that these brain areas make to visual recognition memory are poorly understood. In addition, very little is known about how the primate brain supports the flexible generalization of rapidly acquired visual memory information – for example, to report whether an object has been seen previously, but perhaps in a different context or configuration. To date, investigations of the neural mechanisms that support visual recognition memory have been limited by the fact that visual memories are stored following single image exposures, whereas the techniques that exist to fit and evaluate models of neural mechanism are most often only effective when applied to data in which the same condition was repeated across many trials. In this proposal, we introduce novel data analysis tools to evaluate single-exposure visual memory models with single-unit data. In these experiments, monkeys perform an object-invariant version of a Mnemonic Similarity task as we record neural responses in temporal lobe structures. In Aim 1, we focus on the contributions of IT and perirhinal cortex to shaping the generalization of single-exposure visual memory behavior. In Aim 2, we focus on entorhinal cortex and the hippocampus. Together, these results will, for the first time, describe the differential contributions of IT, perirhinal cortex, entorhinal cortex and the hippocampus to shaping the generalization of single-exposure visual memory behavior.

项目摘要 我们记住我们遇到的图像的能力是非常了不起的 - 我们可以正确确定在查看数千个之后是否在查看数千秒钟之前就已经看到了图像。虽然我们对支持“视觉识别记忆”涉及的大脑区域有所了解（包括颞皮层（IT），周围皮层和海马，但这些大脑区域对视觉识别记忆的具体贡献知之甚少。此外，关于私人大脑如何支持快速获取的视觉记忆信息的灵活概括，例如，报告以前是否已经看到对象，但可能在不同的上下文或配置中，知之甚少。迄今为止，对支持视觉识别记忆的神经元机制的研究受到了以下事实的限制：视觉记忆是按照单图像暴露而存储的，而对于拟合和评估神经力学模型的技术通常仅在用于在许多试验中重复相同条件的数据时最常有效。在此提案中，我们介绍了新型数据分析工具，以评估使用单单元数据的单曝光视觉记忆模型。在这些实验中，猴子在临时叶结构中记录神经调查的时，执行了助记符相似性任务的对象不变版本。在AIM 1中，我们专注于IT和周围皮层的贡献，用于塑造单个暴露视觉记忆行为的概括。在AIM 2中，我们专注于尊贵的皮质和海马。总之，这些结果将首次描述IT的差异贡献，周围的皮层，eNorhinal皮层和海马，以塑造单个暴露视觉记忆行为的概括。