Neural Mechanisms of Disambiguation of Event Sequences

消除事件序列歧义的神经机制

• 批准号: 7156081
• 负责人: NORBERT J FORTIN
• 金额: $ 5.04万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7156081
• 关键词: action potentials; behavior test; behavioral /social science research tag; brain electrical activity; computational neuroscience; computer program /software; computer simulation; discrimination learning; hippocampus; laboratory rat; memory; neural information processing; neurons; neuropsychology; odors; postdoctoral investigator; single cell analysis

DESCRIPTION (provided by applicant): The first objective of this proposal is to characterize the firing patterns of hippocampal neurons associated with the disambiguation of memories for overlapping sequences of events, a critical feature of episodic memory. Single neuron activity and local field potentials in the CA1 and CAS regions will be recorded as rats perform a sequence disambiguation task. The relationships between the timing of spiking activity, phase of field potentials, and behavioral events will be analyzed to test specific predictions made from computational models. The second objective is to design a computational model that will incorporate these new findings to provide a detailed description of the neuronal mechanisms underlying sequence disambiguation, and to generate novel predictions for further analysis. The simulations will be constrained by the anatomy and physiology of the hippocampal region, and replicate the dimensions of the behavioral task. These results will add to our understanding of the mechanisms of hippocampal involvement in memory and consequently are fundamental to the study of disorders associated with dysfunction of the hippocampal system such as age-related memory disorder, Alzheimer's disease, schizophrenia, and autism.

描述（由申请人提供）：该提案的第一个目标是表征与重叠事件序列的记忆消歧相关的海马神经元的放电模式，这是情景记忆的一个关键特征。当大鼠执行序列消歧任务时，将记录 CA1 和 CAS 区域的单个神经元活动和局部场电位。将分析尖峰活动的时间、场电位的相位和行为事件之间的关系，以测试计算模型做出的具体预测。第二个目标是设计一个计算模型，该模型将结合这些新发现，以提供序列消歧背后的神经元机制的详细描述，并生成新的预测以供进一步分析。模拟将受到海马区域的解剖学和生理学的限制，并复制行为任务的维度。这些结果将增进我们对海马参与记忆机制的理解，因此对于研究与海马系统功能障碍相关的疾病（例如与年龄相关的记忆障碍、阿尔茨海默病、精神分裂症和自闭症）至关重要。