COLLABORATIVE RESEARCH: The Cognitive Neuroscience of Category Learning
合作研究:类别学习的认知神经科学
基本信息
- 批准号:0223843
- 负责人:
- 金额:$ 43.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2003
- 资助国家:美国
- 起止时间:2003-03-01 至 2007-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Cognitive Neuroscience of Category LearningAbstractWith National Science Foundation support, Drs. Gluck and Poldrack and colleagues will conduct a three-year investigation to test two hypotheses about the roles of the basal ganglia and medial temporal lobe, and their interaction, in human category learning. They will test these hypotheses using a combination of functional magnetic resonance imaging (fMRI) and studies of patients with damage to either the basal ganglia (due to Parkinson's disease) or to the medial temporal lobe (due to anoxia or other causes). The first hypothesis to be tested is that the basal ganglia are particularly important for learning based on trial-by-trial feedback, whereas the medial temporal lobe is more important for observational learning in the absence of feedback. The second hypothesis is that the engagement of these two regions during category learning is modulated by the structure of the category that is being learned. For example, some categories are largely determined by single features; for example, most animals with a beak are classified as birds. Other kinds of categories require integration of information across multiple features. We will test the hypothesis that the medial temporal lobe is crucial for learning categories based on combinations of features, whereas the basal ganglia are important for learning categories based on single features.The topic studied in this project is categorization, oneof the most important acts of human cognition. Categorization is the recognition that various individual objects can be classified into larger groups that resemble each other in some way. Research in cognitive psychology has provided a set of sophisticated models for how humans learn new categories. However, little is currently known about how these operations are achieved in the brain. Most of our current knowledge comes from studies of patients with brain disorders. In particular, patients with Parkinson's and Huntington's diseases have trouble learning some kinds of new categories, though they are able to learn other kinds of categories. These diseases affect a set of deep brain structures known as the basal ganglia, and their impairment on some category learning tasks suggests that the basal ganglia may be critical for category learning. However, the exact role of the basal ganglia is unknown. Whereas patients with Parkinson's and Huntington's diseases are severely impaired at learning some new categories, patients with amnesia following damage to the medial temporal lobe (including the hippocampus) are only subtly impaired at category learning. Initial neuroimaging studies have shown that this region is deactivated when normal individuals are learning new categories, suggesting that it is not involved. Furthermore, imaging studies have shown that that activity in the medial temporal lobe and basal ganglia during category learning is negatively related: Individuals with more activity in one region tend to have less activity in the other. These findings suggest that these two regions may interact during learning, but the nature of this interaction is unclear at present.These studies have important implications, both for the basic understanding of category learning and for the understanding of the brain systems involved in such common disorders as Parkinson's and Alzheimer's diseases. Most importantly, the results of these studies will provide stronger constraints on theories of human category learning that are currently possible using behavioral measures alone.
类别学习的认知神经科学摘要在美国国家科学基金会的支持下,Gluck和Poldrack博士及其同事将进行一项为期三年的研究,以检验两个关于基底神经节和内侧颞叶在人类类别学习中的作用及其相互作用的假设。 他们将使用功能性磁共振成像(fMRI)和对基底神经节(由于帕金森病)或内侧颞叶(由于缺氧或其他原因)受损患者的研究相结合来测试这些假设。第一个要检验的假设是,基底神经节对于基于逐个试验反馈的学习特别重要,而内侧颞叶对于没有反馈的观察学习更重要。 第二个假设是,在类别学习过程中,这两个区域的参与受到正在学习的类别结构的调节。 例如,有些类别很大程度上是由单一特征决定的;例如,大多数有喙的动物都被归类为鸟类。 其他种类的类别需要跨多个特征的信息集成。 我们将测试这一假设,即内侧颞叶是关键的学习类别的基础上的组合的功能,而基底神经节是重要的学习类别的基础上的单一功能。在这个项目中研究的主题是分类,人类认知的最重要的行为之一。 分类是认识到不同的个体对象可以被分类为在某种程度上彼此相似的更大的组。 认知心理学的研究为人类如何学习新的类别提供了一套复杂的模型。 然而,目前对这些操作是如何在大脑中实现的知之甚少。 我们目前的大部分知识来自对大脑疾病患者的研究。 特别是帕金森病和亨廷顿舞蹈病患者,虽然能够学习其他种类的分类,但他们在学习某些新的分类方面有困难。 这些疾病会影响一组被称为基底神经节的脑深部结构,它们对某些类别学习任务的损害表明基底神经节可能对类别学习至关重要。然而,基底神经节的确切作用尚不清楚。 帕金森氏症和亨廷顿舞蹈症患者在学习某些新的类别时会受到严重损害,而内侧颞叶(包括海马体)受损后出现健忘症的患者在类别学习方面只会受到轻微损害。 最初的神经影像学研究表明,当正常人学习新的类别时,这个区域是不活跃的,这表明它不参与。 此外,成像研究表明,在类别学习过程中,内侧颞叶和基底神经节的活动是负相关的:在一个区域活动较多的个体往往在另一个区域活动较少。 这些发现表明,这两个区域可能在学习过程中相互作用,但这种相互作用的性质目前还不清楚,这些研究具有重要意义,无论是对类别学习的基本理解,还是对帕金森氏症和阿尔茨海默氏症等常见疾病的大脑系统的理解。 最重要的是,这些研究的结果将为人类类别学习理论提供更强的约束,而这些理论目前仅使用行为测量是可能的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
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 }}
Russell Poldrack其他文献
64. The Processing-Speed Impairment in Psychosis is More than Just Accelerated Aging
- DOI:
10.1016/j.biopsych.2017.02.075 - 发表时间:
2017-05-15 - 期刊:
- 影响因子:
- 作者:
Samuel Mathias;Emma Knowles;Jennifer Barrett;Olivia Leach;Sebastiano Buccheri;Tamara Beetham;John Blangero;Russell Poldrack;David Glahn - 通讯作者:
David Glahn
Trauma in Affective and Nonaffective Psychosis: Associations and Dissociations With Cognitive Functioning in Childhood and Adulthood
- DOI:
10.1016/j.biopsych.2020.02.1165 - 发表时间:
2020-05-01 - 期刊:
- 影响因子:
- 作者:
Josephine Mollon;Samuel Mathias;Emma Knowles;Amanda Rodrigue;Godfrey Pearlson;Jennifer Barrett;Russell Poldrack;John Blangero;David Glahn - 通讯作者:
David Glahn
886. Can the General Cognitive Deficit in Psychosis Explain Small Working-Memory Capacity?
- DOI:
10.1016/j.biopsych.2017.02.611 - 发表时间:
2017-05-15 - 期刊:
- 影响因子:
- 作者:
Samuel Mathias;Emma Knowles;Jennifer Barrett;Olivia Leach;Sebastiano Buccheri;Tamara Beetham;John Blangero;Russell Poldrack;David Glahn - 通讯作者:
David Glahn
Russell Poldrack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 }}
{{ truncateString('Russell Poldrack', 18)}}的其他基金
Spokes: MEDIUM: WEST: Breaking down barriers for reproducible neuroimaging data analyses
辐条:中:西:打破可重复神经影像数据分析的障碍
- 批准号:
1760950 - 财政年份:2018
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Computational Infrastructure for Brain Research: EAGER: A Computationally Enabled Knowledge Infrastructure for Cognitive Neuroscience
脑研究的计算基础设施:EAGER:认知神经科学的计算支持知识基础设施
- 批准号:
1649658 - 财政年份:2017
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
CRCNS Data Sharing: An open data repository for cognitive neuroscience: The OpenfMRI Project
CRCNS 数据共享:认知神经科学的开放数据存储库:OpenfMRI 项目
- 批准号:
1532231 - 财政年份:2014
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
CRCNS Data Sharing: An open data repository for cognitive neuroscience: The OpenfMRI Project
CRCNS 数据共享:认知神经科学的开放数据存储库:OpenfMRI 项目
- 批准号:
1131441 - 财政年份:2011
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
The Neural Basis of Risky Decision Making
风险决策的神经基础
- 批准号:
0433693 - 财政年份:2004
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Enhancing Human Cortical Plasticity: Visual Psychophysics and fMRI
增强人类皮质可塑性:视觉心理物理学和功能磁共振成像
- 批准号:
0121950 - 财政年份:2001
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Using Adaptive Lessons to Enhance Motivation, Cognitive Engagement, And Achievement Through Equitable Classroom Preparation
协作研究:通过公平的课堂准备,利用适应性课程来增强动机、认知参与和成就
- 批准号:
2335802 - 财政年份:2024
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: Using Adaptive Lessons to Enhance Motivation, Cognitive Engagement, And Achievement Through Equitable Classroom Preparation
协作研究:通过公平的课堂准备,利用适应性课程来增强动机、认知参与和成就
- 批准号:
2335801 - 财政年份:2024
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: Referential alarm calling as a window into the mechanisms and evolution of a complex cognitive phenotype
合作研究:参考警报呼叫作为了解复杂认知表型的机制和演化的窗口
- 批准号:
2417581 - 财政年份:2024
- 资助金额:
$ 43.96万 - 项目类别:
Continuing Grant
Collaborative Research: Using Adaptive Lessons to Enhance Motivation, Cognitive Engagement, And Achievement Through Equitable Classroom Preparation
协作研究:通过公平的课堂准备,利用适应性课程来增强动机、认知参与和成就
- 批准号:
2335800 - 财政年份:2024
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
- 批准号:
2319619 - 财政年份:2023
- 资助金额:
$ 43.96万 - 项目类别:
Continuing Grant
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
- 批准号:
2319617 - 财政年份:2023
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: Cognitive Workload Classification in Dynamic Real-World Environments: A MagnetoCardioGraphy Approach
协作研究:动态现实环境中的认知工作负载分类:心磁图方法
- 批准号:
2320491 - 财政年份:2023
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: NCS-FR: DEJA-VU: Design of Joint 3D Solid-State Learning Machines for Various Cognitive Use-Cases
合作研究:NCS-FR:DEJA-VU:针对各种认知用例的联合 3D 固态学习机设计
- 批准号:
2319618 - 财政年份:2023
- 资助金额:
$ 43.96万 - 项目类别:
Continuing Grant
Collaborative Research: Cognitive Workload Classification in Dynamic Real-World Environments: A MagnetoCardioGraphy Approach
协作研究:动态现实环境中的认知工作负载分类:心磁图方法
- 批准号:
2320490 - 财政年份:2023
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant
Collaborative Research: DARE: A Personalized Assistive Robotic System that assesses Cognitive Fatigue in Persons with Paralysis
合作研究:DARE:一种评估瘫痪者认知疲劳的个性化辅助机器人系统
- 批准号:
2226164 - 财政年份:2022
- 资助金额:
$ 43.96万 - 项目类别:
Standard Grant