Neural mechanisms of specificity and generalization learning
Neural mechanisms of specificity and generalization learning
批准号:
10786969
负责人:
Dagmar Zeithamova
金额:
$8.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-08-01 至 2025-05-31
关键词:
AddressAgingAlzheimer&aposs DiseaseAnteriorAnxietyBehavioralBrainCognitionCognitiveDecision MakingEventFunctional Magnetic Resonance ImagingFundingGrantHippocampusHumanImpairmentIndividualKnowledgeLearningMemoryMemory impairmentMental DepressionMethodsModelingNaturePatternResearchRoleSpecificityStrokeSystemTestingTrainingWritingautism spectrum disorderexperiencegraduate studentimprovedindexingmemberneuralneural patterningneuromechanismnoveltheories
中文摘要
项目总结
基于记忆的认知既取决于记忆个体经历的具体细节的能力
(专一性)和将不同经验的信息组合在一起以获取新知识的能力
(泛化)。众所周知,海马体快速编码特定的事件,但
记忆泛化的机制还不是很清楚。传统上,分工一直是假定的
在海马体之间,支持快速学习的特异性,与其他记忆系统之间,学习缓慢
并且增量地支持泛化。最近的研究也表明了海马体的作用
在快速推广中,新知识是通过组合少数几个
事件。目前有争议的是,海马体对泛化的贡献是否完全可以用它的
在存储特定体验中的作用,或者海马体是否将各种体验的信息整合到
形成广义知识。此外,还不清楚泛化学习是否在
特定细节的内存开销,或者多种类型的内存表示是否形成并共存
服务于多种形式的认知。当前的项目测试了在DISTINCT表示的假设
特异性水平沿着海马体的长轴平行形成,通过与不同的
皮质区域。更多的前面的广义表示提供了推广。更具体的后部
表征支持记忆专一性,但也可以在某些情况下通知泛化决策
当还没有形成广义表示时。为了检验这些假设,拟议的研究使用
人类在概念学习任务中的功能磁共振成像,在概念学习任务中,特异性学习和概括性学习都是
使用(1)行为方法、(2)认知建模和基于模型的功能磁共振成像以及(3)神经模式进行索引
相似性分析。这些研究将确定记忆泛化的机制(S)及其之间的关系
对于特定事件的记忆,不同表征的形成在多大程度上是策略性的
控制,以及有助于特异性和概括性学习的海马区-大脑皮层相互作用。这个
结果将揭示特定性和概括性是否是单个
神经表征,一个单一的神经系统,可以在以下条件下形成不同类型的记忆表征
不同的任务要求,或形成不同表示的不同神经系统。结果将会通知
当前关于记忆功能的理论有助于调和长达数十年的关于概念本质的争论
申述。在这份补充申请中,我们要求为特洛伊·豪泽的研究经验提供资金,
Zeithamova博士大脑和记忆实验室的研究生。被提名人将进行
新的分析解决了关于具体的和概括的组织的替代假设
海马区的记忆表征,并接受功能磁共振成像分析和赠款撰写方面的培训。
英文摘要
Project summary
Memory-based cognition depends on both the ability to remember specific details of individual experiences
(specificity) and the ability to combine information across experiences to derive new knowledge
(generalization). It is well established that the hippocampus rapidly encodes specific events, but the
mechanisms of memory generalization are less clear. Traditionally, a division of labor has been postulated
between the hippocampus, learning rapidly to support specificity, and other memory systems, learning slowly
and incrementally to support generalization. More recent research has also shown a role of the hippocampus
in rapid generalization, where new knowledge is derived by combining information across a small number of
events. It is currently debated whether the hippocampal contribution to generalization is fully explainable by its
role in storing specific experiences or whether the hippocampus integrates information across experiences to
form generalized knowledge. Furthermore, it is unclear whether generalization learning proceeds at the
expense of memory for specific details or whether multiple types of memory representations form and co-exist
to serve multiple forms of cognition. The current project tests the hypotheses that representations at distinct
levels of specificity form in parallel along the long axis of the hippocampus through interactions with distinct
cortical regions. More anterior generalized representations inform generalization. More posterior specific
representations support memory specificity but can also inform generalization decisions under circumstances
when generalized representations have not been formed. To test these hypotheses, the proposed studies use
functional MRI in humans during concept-learning tasks in which both specificity and generalization learning is
indexed using (1) behavioral methods, (2) cognitive modeling and model-based fMRI, and (3) neural pattern
similarity analyses. The studies will determine the mechanism(s) of memory generalization and how it relates
to memory for specific events, the degree to which the formation of distinct representation is under strategic
control, and the hippocampal-cortical interactions that contribute to specificity and generalization learning. The
results will reveal whether specificity and generalization are two behavioral expressions supported by a single
neural representation, a single neural system that can form different types of memory representations under
different task demands, or distinct neural systems that form distinct representations. The results will inform
current theories of memory function and help reconcile a decades-long debate regarding the nature of concept
representations. In this supplemental application, we request funding for research experience for Troy Houser,
a graduate student in the Brain and Memory lab of the PI Dr. Zeithamova. The supplementee will conduct
novel analyses addressing alternative hypotheses regarding the organization of specific and generalized
memory representations within hippocampus, and receive training in fMRI analyses and grant writing.
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Coherent category training enhances generalization in prototype-based categories.
连贯的类别训练增强了基于原型的类别的泛化能力。
DOI:
10.1037/xlm0001243
发表时间:
2023
期刊:
Journal of experimental psychology. Learning, memory, and cognition
影响因子:
--
作者:
[Bowman,CaitlinR, Zeithamova,Dagmar]
通讯作者:
Zeithamova,Dagmar
DOI:
10.1016/j.nlm.2020.107317
发表时间:
2020-11
期刊:
Neurobiology of learning and memory
影响因子:
2.7
作者:
[Zeithamova D, Bowman CR]
通讯作者:
Bowman CR
DOI:
10.3389/fpsyg.2021.669481
发表时间:
2021
期刊:
Frontiers in psychology
影响因子:
3.8
作者:
[Bowman CR, de Araujo Sanchez MA, Hou W, Rubin S, Zeithamova D]
通讯作者:
Zeithamova D
DOI:
10.1037/pag0000714
发表时间:
2022-11
期刊:
Psychology and aging
影响因子:
3.7
作者:
[Bowman CR, Iwashita T, Zeithamova D]
通讯作者:
Zeithamova D
Tracking prototype and exemplar representations in the brain across learning.
在学习过程中跟踪大脑中的原型和示例性表示。
DOI:
10.7554/elife.59360
发表时间:
2020-11-26
期刊:
eLife
影响因子:
7.7
作者:
[Bowman CR, Iwashita T, Zeithamova D]
通讯作者:
Zeithamova D
共 7 条
Individual differences in memory generalization
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批准号:10741060
-
项目类别:
-
资助金额:$13.71万
-
财政年份:2023
-
负责人:Dagmar Zeithamova
-
依托单位:
Neural mechanisms of specificity and generalization learning
-
批准号:10224354
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项目类别:
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资助金额:$32.22万
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财政年份:2020
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负责人:Dagmar Zeithamova
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依托单位:
Neural mechanisms of specificity and generalization learning
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批准号:10633079
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项目类别:
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资助金额:$32.19万
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财政年份:2020
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负责人:Dagmar Zeithamova
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依托单位:
Neural mechanisms of specificity and generalization learning
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批准号:10400228
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项目类别:
-
资助金额:$32.2万
-
财政年份:2020
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负责人:Dagmar Zeithamova
-
依托单位:
Medial temporal lobe contributions to flexible use of memory
-
批准号:8256289
-
项目类别:
-
资助金额:$5.37万
-
财政年份:2011
-
负责人:Dagmar Zeithamova
-
依托单位:
Medial temporal lobe contributions to flexible use of memory
-
批准号:8534856
-
项目类别:
-
资助金额:$5.77万
-
财政年份:2011
-
负责人:Dagmar Zeithamova
-
依托单位:
Medial temporal lobe contributions to flexible use of memory
-
批准号:8333524
-
项目类别:
-
资助金额:$5.63万
-
财政年份:2011
-
负责人:Dagmar Zeithamova
-
依托单位:
海外基金