COMPUTATIONAL MODELS OF PFC-MTL INTERACTIONS
COMPUTATIONAL MODELS OF PFC-MTL INTERACTIONS
批准号:
8303579
负责人:
Michael E Hasselmo
金额:
$21.66万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-06 至 2016-06-30
关键词:
AccountingAddressAreaBehaviorBehavioralCodeComputer SimulationCuesDataData AnalysesDiseaseEvaluationFire - disastersFunctional Magnetic Resonance ImagingGenerationsHippocampus (Brain)HumanImpairmentInstructionLearningLesionLinkLocationMeasurementMeasuresMedialMediatingMemoryMental DepressionMental disordersModelingModificationMonkeysMultivariate AnalysisNeuronsOutcomePathologyPatternPerformancePhasePhysiologicalPositioning AttributePrefrontal CortexPrimatesPropertyProtocols documentationPsychological reinforcementRattusRelative (related person)RetrievalRodentRodent ModelSchizophreniaSimulateStructureTechniquesTemporal LobeTestingTimeUpdateVisualWorkbasedata modelingnetwork modelsneural patterningneuromechanismnovelrelating to nervous systemresearch studyresponsesimulationtheories
中文摘要
该项目将开发一个共享的计算模型,以确定前额叶皮层(PFC)和内侧颞叶皮层(MTL)在需要基于上下文的提示反应的行为任务中的相互作用的统一机制。本研究的主要目的是模拟啮齿类动物在执行相关行为任务时PFC和MTL神经尖峰活动的时间特性
英文摘要
This project will develop a shared computational model to identify unified mechanisms for interactions of the prefrontal cortex (PFC) and medial temporal lobe cortex (MTL) in the performance of a behavioral task requiring cued responses based on context. The specific aims focus on modeling the properties of timing of neural spiking activity in PFC and MTL during performance of related behavioral tasks in rodents in Project
4-5, and on the properties of neural spiking in monkeys in Project 3 and the magnitude of functional magnetic resonance imaging (fMRI) activity in humans in Projects 1-2. In addition, the specific aims will address the effect of the damage to different cortical regions on behavioral performance and measures of neural activity. Based on previous models from this lab, network models of integrate-and-fire neurons or biophysical compartmental simulations representing subregions of the PFC and MTL will be used to generate predictions about experimental data that will guide data analysis, and comparison with the data will determine whether features of the shared model are retained or restructured to account for the data.
Modeling predictions will address relative timing of unit activity between regions and timing relative to network oscillations in Projects 4-5, and experimental outcomes will guide selection of neural mechanisms for representation of context, such as oscillatory interference or the temporal context model. Models will generate predictions about the relative timing of unit activity in monkeys in Project 3, and the magnitude of
fMRI activity and patterns of preferential viewing in humans in Projects 1 and 2 before and after the transition to context-based responding, and during inferences to cues presented in novel quadrants. The outcomes of these comparisons to data will guide extension of the model to address human and monkey PFC-MTL interactions in relation to rodents.
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会议论文
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