COMPUTATIONAL MODELS OF PFC-MTL INTERACTIONS

PFC-MTL 相互作用的计算模型

• 批准号: 8303579
• 负责人: Michael E Hasselmo
• 金额: $ 21.66万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-06 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8303579
• 关键词: Accounting; Address; Area; Behavior; Behavioral; Code; Computer Simulation; Cues; Data; Data Analyses; Disease; Evaluation; Fire - disasters; Functional Magnetic Resonance Imaging; Generations; Hippocampus (Brain); Human; Impairment; Instruction; Learning; Lesion; Link; Location; Measurement; Measures; Medial; Mediating; Memory; Mental Depression; Mental disorders; Modeling; Modification; Monkeys; Multivariate Analysis; Neurons; Outcome; Pathology; Pattern; Performance; Phase; Physiological; Positioning Attribute; Prefrontal Cortex; Primates; Property; Protocols documentation; Psychological reinforcement; Rattus; Relative (related person); Retrieval; Rodent; Rodent Model; Schizophrenia; Simulate; Structure; Techniques; Temporal Lobe; Testing; Time; Update; Visual; Work; base; data modeling; network models; neural patterning; neuromechanism; novel; relating to nervous system; research study; response; simulation; theories

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.

该项目将开发一个共享的计算模型，以确定统一的机制，前额叶皮层（PFC）和内侧颞叶皮层（MTL）的相互作用，在一个行为任务的性能，需要基于上下文的线索反应。具体目标集中在模拟啮齿动物在执行相关行为任务期间PFC和MTL神经发放活动的时间特性 4-5，项目3中的猴子神经尖峰的性质和项目1-2中的人类功能性磁共振成像（fMRI）活动的幅度。此外，具体目标将解决不同皮层区域的损伤对行为表现和神经活动测量的影响。基于本实验室以前的模型，代表PFC和MTL子区域的整合和激发神经元或生物物理房室模拟的网络模型将用于生成有关实验数据的预测，这些数据将指导数据分析，与数据的比较将确定共享模型的特征是否保留或重构以解释数据。 建模预测将解决区域之间的单位活动的相对时间和相对于项目4-5中的网络振荡的时间，实验结果将指导选择用于表示上下文的神经机制，例如振荡干扰或时间上下文模型。模型将预测项目3中猴子单位活动的相对时间， 在项目1和项目2中，在过渡到基于上下文的反应之前和之后，以及在对新象限中呈现的线索进行推断期间，人类的fMRI活动和优先观看模式。这些数据比较的结果将指导模型的扩展，以解决人类和猴子与啮齿动物的PFC-MTL相互作用。