COLLABORATIVE RESEARCH: Context-Dependence in Hippocampal Place Fields: Computational Modeling and Experimental Investigation of the Dentate Gyrus-Hilus System

合作研究：海马位置场的情境依赖性：齿状回-门系统的计算建模和实验研究

• 批准号: 9808664
• 负责人: Ali Minai
• 金额: $ 9.59万
• 依托单位: University of Cincinnati Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-10-01 至 2001-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9808664&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Context; Dependence; Hippocampal

IBN 98-08664 MINAI (COLLABORATIVE WITH BEST) The hippocampus is known to be involved in the performance of crucial cognitive tasks such as memory and spatial representation. A very large body of experimental data is now available for the hippocampus, but the interpretation of these data requires the formulation of theoretical models for hippocampal function. This project applies a computational modeling approach to a very important but poorly understood aspect of hippocampal function. Experimental data suggest that representations of place (where an animal is located with respect to its surroundings) in the hippocampus are not based solely on sensory features (e.g., visual cues), but also reflect a cognitive assessment of location. Thus, two visually identical environments can be identified as different locations based on contextual information. The computational mechanism by which this context-dependence arises is not clear. The present project addresses this issue by building on the hypothesis that two sub-regions of the hippocampus --- the dentate gyrus and the hilus --- are crucial to the emergence of context- dependent representations in the hippocampus. Over its duration, the project will comprise four tasks: (1) Implementation, simulation, and analysis of an abstract computational model for context processing in a network based on the gross architecture of the dentate gyrus and hilus; (2) Implementation and simulation of physiologically and anatomically more detailed models within a phenomenological model of the hippocampal system; (3) Experimental verification of the assumptions underlying the models, and the predictions derived from them; and (4) Modification of the models in light of the new experimental data. The aim is to set up a continuous interaction between theory and experiment that leads to a better understanding of the hippocampal system. This project continues a collaboration that Dr. Minai and Dr. Best have developed over the last two years under NSF's Collaborative Research Initiation Program and represents a strong long-term commitment to theoretical, experimental, and computational research on the hippocampal system. It is expected that this collaboration will elucidate critical information-processing principles in the brain and will also lead to a fruitful application of these principles in areas such as robotics and intelligent systems.

IBN 98-08664 MINAI（与BEST合作） 海马体被认为参与了重要的认知任务，如记忆和空间表征。 一个非常大的身体的实验数据，现在可用于海马，但这些数据的解释需要制定海马功能的理论模型。 这个项目将计算建模方法应用于海马功能的一个非常重要但知之甚少的方面。 实验数据表明，海马体中的位置（动物相对于其周围环境的位置）的表征不仅仅基于感觉特征（例如，视觉线索），而且还反映了对位置的认知评估。因此，可以基于上下文信息将两个视觉上相同的环境识别为不同的位置。这种上下文依赖性产生的计算机制尚不清楚。 本项目通过建立海马的两个子区域---齿状回和门---对海马中上下文依赖性表征的出现至关重要的假设来解决这个问题。 在其持续时间内，该项目将包括四项任务：（1）在基于齿状回和门的总体结构的网络中实现、模拟和分析上下文处理的抽象计算模型;（2）在海马系统的现象学模型中实现和模拟生理学和解剖学上更详细的模型;（3）对模型所依据的假设以及由此得出的预测进行实验验证;（4）根据新的实验数据对模型进行修改。其目的是建立理论与实验之间的持续互动，从而更好地了解海马系统。 该项目延续了Minai博士和Best博士在过去两年中根据NSF的合作研究启动计划开发的合作，并代表了对海马系统理论，实验和计算研究的长期承诺。预计这种合作将阐明大脑中的关键信息处理原则，并将导致这些原则在机器人和智能系统等领域的富有成效的应用。