What limits visual working memory?

是什么限制了视觉工作记忆?

基本信息

  • 批准号:
    2127822
  • 负责人:
  • 金额:
    $ 15.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-01-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Remembering and thinking about things seen moments beforehand—termed visual working memory (VWM)—is surprisingly difficult. People continuously use their limited VWM for basic tasks like navigating a car or rapidly finding the eyeglasses they just put down. Because VWM is associated with intelligence, VWM affects academic and professional performance. VWM degrades with aging, disorders (like ADHD or schizophrenia), and brain injuries. Like a tune-up or repair of a mechanical system needs some understanding of how the system is built, an intervention to improve VWM would benefit from knowledge of the working memory system’s architecture. To gain a more full understanding of VWM’s structure and its relationships to other aspects of thinking, new research infrastructure is needed. This infrastructure will then enable future examination of how little-studied VWM capacity limits (beyond the amount of information that can be stored) are related to thinking and perception, which will in turn indicate if what is known about the well-studied VWM storage capacity generalizes to these other important limits on VWM. To enable this future examination, the present research will iteratively devise and pilot component research tasks to ultimately form an approximately 8-hour extensible suite of cognitive tests that will serve as infrastructure for the aforementioned future VWM research in healthy young adults. Moreover, this infrastructure will eventually enable further research on how VWM changes over the lifespan and in populations of disorder and/or neurological injury.To date, the vast majority of VWM research has focused on storage capacity, but neglected how information moves from visual perception into VWM (termed consolidation) and how memories for items that are near one another are kept separate (termed resolution). Consolidation determines if seen items make it into memory before being disrupted by distraction. Resolution determines whether remembering an item means that memory for additional, nearby items is less accurate. Understanding these limits is critical for generalizing from the lab to the real world, where objects and events are close to one another and distraction is frequent. This research will enable future measurement of individual differences in storage, consolidation, and resolution; other kinds of working memory; attention; and executive control using computerized tasks. These data could then be used to determine how these distinct capacity limits relate to one another. This is important to science because it is vigorously debated whether working memory should be thought of as limited by a single resource that is shared for different kinds of memory representations and processes, versus being a series of distinct systems, each with their own separate capacity limits. The novel inclusion of consolidation and resolution measures in the new research infrastructure (test suite) will allow a much more complete and accurate picture compared to past research. This, in turn, is important to society because it could greatly change how therapies or interventions are targeted. For instance, intervention strategies would be different if verbal training could benefit visual memory, compared to if verbal and visual memory were independently limited. Present evaluations of working memory typically either focus on VWM storage capacity, or on verbal versus visuospatial memory span; when these are considered together, VWM consolidation and resolution are not included. The test suite that will be the product of the present research will overcome this limitation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该奖项全部或部分由2021年美国救援计划法案(公法117-2)资助。记住和思考之前看到的东西-称为视觉工作记忆(VWM)-是令人惊讶的困难。人们不断地使用他们有限的VWM来完成基本任务,比如驾驶汽车或快速找到他们刚刚放下的眼镜。由于VWM与智力有关,VWM影响学术和专业表现。VWM会随着年龄的增长、疾病(如多动症或精神分裂症)和脑损伤而退化。就像调整或修复一个机械系统需要了解系统是如何构建的一样,改善VWM的干预将受益于工作记忆系统架构的知识。为了更全面地了解VWM的结构及其与思维其他方面的关系,需要新的研究基础设施。然后,该基础设施将使未来的研究很少研究VWM容量限制(超出可以存储的信息量)与思维和感知的关系,这反过来又表明,关于研究充分的VWM存储容量的知识是否可以推广到VWM的其他重要限制。为了实现这一未来的检查,本研究将迭代设计和试点组件研究任务,最终形成一个大约8小时的可扩展的认知测试套件,将作为基础设施,为上述未来的VWM研究健康的年轻人。此外,这一基础设施最终将使进一步研究如何VWM变化的寿命和人口的障碍和/或neurological injury.To日期,绝大多数的VWM研究集中在存储容量,但忽略了信息如何从视觉感知到VWM移动(称为巩固),以及如何记忆的项目是彼此接近的保持分离(称为分辨率)。巩固决定了所看到的项目是否在被分心干扰之前进入记忆。分辨力决定了记住一个项目是否意味着对附近其他项目的记忆不太准确。了解这些限制对于从实验室推广到真实的世界至关重要,在现实世界中,物体和事件彼此靠近,经常会分心。这项研究将使未来的测量存储,巩固和分辨率的个体差异;其他类型的工作记忆;注意力;和执行控制使用计算机化的任务。然后,这些数据可以用于确定这些不同的容量限制如何相互关联。这对科学很重要,因为人们一直在激烈地争论,工作记忆是否应该被认为是由一个单一的资源所限制,这个资源被不同种类的记忆表征和过程所共享,而不是一系列不同的系统,每个系统都有自己的容量限制。在新的研究基础设施(测试套件)中包含的整合和解决措施将使过去的研究相比,更完整和准确的图片。反过来,这对社会很重要,因为它可能会极大地改变治疗或干预的目标。例如,如果言语训练可以有益于视觉记忆,与言语和视觉记忆独立受限相比,干预策略将是不同的。目前的工作记忆的评价通常集中在VWM存储容量,或言语与视觉空间记忆广度,当这些被认为是在一起,VWM巩固和决议不包括在内。该奖项反映了NSF的法定使命,并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Simultaneously and sequentially presented arrays evoke similar visual working memory crowding
  • DOI:
    10.1080/13506285.2022.2099497
  • 发表时间:
    2022-07-15
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Yoruk,Harun;Tamber-Rosenau,Benjamin J.
  • 通讯作者:
    Tamber-Rosenau,Benjamin J.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Benjamin Tamber-Rosenau其他文献

Benjamin Tamber-Rosenau的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似海外基金

Capacity limits in the neural circuitry of visual word recognition
视觉单词识别神经回路的容量限制
  • 批准号:
    10296072
  • 财政年份:
    2021
  • 资助金额:
    $ 15.83万
  • 项目类别:
Limits to visual processing: non-linearities, noise and integration
视觉处理的限制:非线性、噪声和积分
  • 批准号:
    RGPIN-2016-03740
  • 财政年份:
    2021
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Discovery Grants Program - Individual
Capacity limits in the neural circuitry of visual word recognition
视觉单词识别神经回路的容量限制
  • 批准号:
    10330043
  • 财政年份:
    2021
  • 资助金额:
    $ 15.83万
  • 项目类别:
Capacity limits in the neural circuitry of visual word recognition
视觉单词识别神经回路的容量限制
  • 批准号:
    10534775
  • 财政年份:
    2021
  • 资助金额:
    $ 15.83万
  • 项目类别:
Establishing the Limits of Perceptual Inference for Visual Motion
建立视觉运动感知推理的极限
  • 批准号:
    10318920
  • 财政年份:
    2021
  • 资助金额:
    $ 15.83万
  • 项目类别:
Limits to visual processing: non-linearities, noise and integration
视觉处理的限制:非线性、噪声和积分
  • 批准号:
    RGPIN-2016-03740
  • 财政年份:
    2020
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Discovery Grants Program - Individual
Limits to visual processing: non-linearities, noise and integration
视觉处理的限制:非线性、噪声和积分
  • 批准号:
    RGPIN-2016-03740
  • 财政年份:
    2019
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Discovery Grants Program - Individual
Limits to visual processing: non-linearities, noise and integration
视觉处理的限制:非线性、噪声和积分
  • 批准号:
    RGPIN-2016-03740
  • 财政年份:
    2018
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Discovery Grants Program - Individual
The limits to visual sensitivity at low light levels
弱光条件下视觉灵敏度的限制
  • 批准号:
    529062-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Alexander Graham Bell Canada Graduate Scholarships - Master's
Limits to visual processing: non-linearities, noise and integration
视觉处理的限制:非线性、噪声和积分
  • 批准号:
    RGPIN-2016-03740
  • 财政年份:
    2017
  • 资助金额:
    $ 15.83万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了