What Mechanisms Underlie Top-Down Modulation of Human Visual Cortex?

人类视觉皮层自上而下调节的机制是什么？

• 批准号: 10631873
• 负责人: Luis Daniel Ramirez
• 金额: $ 4.78万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10631873
• 关键词: Academic Training; Adult; Attention; Award; BRAIN initiative; Behavioral; Benchmarking; Brain; Brain Diseases; Brain imaging; Bypass; Complement; Computer Models; Data; Dependence; Detection; Development; Diagnosis; Disease; Down-Regulation; Electroencephalography; Ensure; Environment; Evoked Potentials; Fostering; Functional Magnetic Resonance Imaging; Goals; Human; Imaging Techniques; Impaired cognition; International; Intervention; Intuition; Machine Learning; Manuscripts; Measures; Mentors; Mentorship; Methodology; Methods; Mission; Modeling; National Institute of Neurological Disorders and Stroke; Neurons; Oral; Pattern; Perception; Phase; Play; Process; Psychophysics; Regulation; Reporting; Research; Research Personnel; Resolution; Resources; Scientist; Short-Term Memory; Signal Detection Analysis; Signal Transduction; Stimulus; Techniques; Testing; Training; United States National Institutes of Health; Vision; Visual; Visual Cortex; Work; attentional modulation; cognitive ability; cognitive function; cognitive process; cohesion; experience; experimental study; functional magnetic resonance imaging/electroencephalography; improved; information processing; innovation; multimodal neuroimaging; neural correlate; neuroimaging; patient population; posters; relating to nervous system; selective attention; temporal measurement; visual information; visual memory; visual processing

PROJECT SUMMARY/ABSTRACT The human brain is adept at constructing coherent perceptual experiences, despite an environment overflowing with more information than can be processed at any given moment. Out of necessity, top-down cognitive processes, such as attention and working memory, play a key role in regulating what we can and cannot perceive. What neural computations drive this regulation of perception? While computational models have been proposed to account for the effects of attention and working memory on visual processing, there is a lack of empirical evidence testing these models in humans. This project will bridge this gap by pairing computational modeling with non-invasive neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), to study the brain mechanisms underlying attention, perception, and working memory. By using these techniques to track the neural fate of visual information across human visual cortex during selective attention tasks, we will reveal the specific mechanisms by which top-down processes improve our ability to see. In the long-term, development of a computational model will better quantify the top- down regulation of visual processing – information key to vision scientists and basic researchers investigating impaired cognition in patient populations. The aims of this project align with the mission of the NINDS and the BRAIN Initiative, building innovative multi-modal neuroimaging approaches to understand the brain mechanisms that underlie attention, perception, and working memory, with potential for guiding the diagnoses and treatment of related disorders.

项目总结/摘要 人类的大脑善于构建连贯的感知体验，尽管环境充满了 在任何给定时刻都无法处理的信息。出于必要，自上而下的认知 注意力和工作记忆等过程在调节我们能做什么和不能做什么方面发挥着关键作用 感知是什么神经计算驱动了这种感知调节？虽然计算模型已经 提出要考虑到注意力和工作记忆对视觉处理的影响，缺乏 在人类身上测试这些模型的经验证据。该项目将通过配对计算来弥合这一差距。 使用非侵入性神经成像技术建模，例如功能性磁共振成像（fMRI） 和脑电图（EEG），以研究大脑机制的注意力，知觉， 工作记忆通过使用这些技术来跟踪整个人类视觉信息的神经命运 在选择性注意任务中，我们将揭示自上而下的过程的具体机制， 提高我们的视力。从长远来看，开发一个计算模型将更好地量化顶部- 视觉处理的下调-视觉科学家和基础研究人员调查的关键信息 患者群体的认知受损。该项目的目标与NINDS的使命和 BRAIN Initiative，建立创新的多模态神经成像方法来了解大脑机制 这是注意力、知觉和工作记忆的基础，具有指导诊断和治疗的潜力。 相关的疾病。