Synaptic plasticity in sensory learning
感觉学习中的突触可塑性
基本信息
- 批准号:10598941
- 负责人:
- 金额:$ 39.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcuteAddressAreaAssociation LearningBehaviorBehavioralBrainCellsCognitiveCortical ColumnDataDetectionDiscriminationEnvironmentEsthesiaExposure toFunctional Magnetic Resonance ImagingHeadHomeIn VitroInjuryLabelLearningLesionMediatingModificationMotorMusNeocortexNeuronsOutputPathway interactionsPlayPsychological reinforcementRewardsRodentRoleSensoryShort-Term MemorySignal TransductionSiteSomatostatinStimulusSynapsesSynaptic plasticityTestingThalamic structureTrainingTransgenic OrganismsVibrissaebarrel cortexbehavior influencecell typedeprivationdesignexperiencefield studyhippocampal pyramidal neuronmotor controlmotor learningneocorticalneural circuitnoveloperationpatch clampprogramsresponsesensory cortexsensory discriminationsensory inputsomatosensorywhisker discrimination
项目摘要
ABSTRACT
Experience-dependent plasticity is a canonical feature of the neocortex, observed in both sensory and
motor learning as well as more sophisticated cognitive operations such as working memory. The
remarkable conservation of cell types and synaptic connectivity across brain areas suggests that there
may be general principles by which neocortical circuits facilitate experience-dependent synaptic
modifications relevant for learning. We will test the hypothesis that exposure to novel and rewarded
sensory inputs initiates a common program of cell-type and input-specific plasticity across the cortical
column, irrespective of whether these changes are required for behavioral change. These collaborative
studies will address and resolve important controversies in the field of learning.
摘要
经验依赖性可塑性是新皮层的典型特征,在感觉和神经系统中都可以观察到。
运动学习以及更复杂的认知操作,如工作记忆。的
细胞类型和跨脑区突触连接的显著保守性表明,
可能是新皮层回路促进经验依赖性突触的一般原则,
与学习相关的修改。我们将检验这样一个假设,即接触新奇的事物,
感觉输入启动了一个共同的程序的细胞类型和输入特定的可塑性在整个皮层
列,而不管这些更改是否是行为更改所必需的。这些协作
研究将解决和解决学习领域的重要争议。
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)
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ALISON L BARTH其他文献
ALISON L BARTH的其他文献
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{{ truncateString('ALISON L BARTH', 18)}}的其他基金
Fluorescence-based methods for microconnectivity analysis in neocortex
基于荧光的新皮质微连接分析方法
- 批准号:
10413555 - 财政年份:2022
- 资助金额:
$ 39.75万 - 项目类别:
Inhibitory synaptic plasticity during learning
学习过程中的抑制性突触可塑性
- 批准号:
10270121 - 财政年份:2020
- 资助金额:
$ 39.75万 - 项目类别:
MACHINE LEARNING APPROACHES FOR ELECTROPHYSIOLOGICAL CELL CLASSIFICATION
电生理细胞分类的机器学习方法
- 批准号:
9568053 - 财政年份:2017
- 资助金额:
$ 39.75万 - 项目类别:
MACHINE LEARNING APPROACHES FOR ELECTROPHYSIOLOGICAL CELL CLASSIFICATION
电生理细胞分类的机器学习方法
- 批准号:
9449797 - 财政年份:2017
- 资助金额:
$ 39.75万 - 项目类别:
High Throughput Approaches for Cell-Specific Synapse Characterization
用于细胞特异性突触表征的高通量方法
- 批准号:
9380589 - 财政年份:2017
- 资助金额:
$ 39.75万 - 项目类别:
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