COLLABORATIVE RESEARCH: Context-Dependence in Hippocampal Place Fields: 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-门系统的实验研究

• 批准号: 9816612
• 负责人: Phillip Best
• 金额: $ 6.4万
• 依托单位: Miami University
• 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=9816612&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Context; Dependence; Hippocampal

IBN 98-16612 BEST (COLLABORATIVE with MINAI) 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 also lead to a fruitful application of these principles in areas such as robotics and intelligent systems.

IBN 98-16612最佳（与Minai的合作）海马参与了至关重要的认知任务，例如记忆和空间表示。 现在可以使用大量的实验数据，可用于海马，但是这些数据的解释需要为海马功能的理论模型制定。 该项目将计算建模方法应用于海马功能的非常重要但知之甚少的方面。 实验数据表明，海马中的位置表示（动物与周围环境相对于其周围环境）并不仅基于感觉特征（例如，视觉提示），而是反映了对位置的认知评估。因此，基于上下文信息，可以将两个视觉相同的环境识别为不同的位置。这种依赖上下文依赖性的计算机制尚不清楚。 本项目通过基于海马的两个子区域的假设来解决这个问题 - 齿状回和hilus - 对于海马中的上下文依赖表示形式至关重要。 在其持续时间内，该项目将构成四个任务：（1）基于齿状回和Hilus的总体体系结构，在网络中进行上下文处理的抽象计算模型的实现，仿真和分析； （2）在海马系统的现象学模型中，生理和解剖学上更详细的模型的实施和模拟； （3）对模型基础假设的实验验证，以及从它们中得出的预测； （4）根据新的实验数据修改模型。目的是在理论和实验之间建立连续的相互作用，从而更好地理解海马系统。 该项目继续进行了一项合作，Minai博士和Best博士在过去的两年中在NSF的合作研究启动计划下发展了，并且代表了对海马体系的理论，实验和计算研究的强烈长期承诺。预计这项合作将阐明大脑中的关键信息处理原则，并在机器人和智能系统等领域中富有成果的应用。