Analysis of Ensemble Encoding and Parallel Computation in Mammalian Brain

这项建议中描述的研究将检查大鼠海马体内集合编码信息的空间和时间结构。来自这些实验的数据将为关于该区域内关联加工的性质的假设提供必要的信息。为了评估这些假设，将开发一个CA3-CA1网络的计算模型来解释观察到的实验结果。如有必要，将在利用超级计算机资源的高性能RISC工作站上进行建模和数据分析工作。总体而言，这项工作代表了一种尝试，通过使用计算机建模，将系统水平的神经生理学数据与学习和记忆计算理论所做出的预测相结合。

The research described in this proposal will examine the spatial and temporal structure of ensemble encoded information within the hippocampus of the rat. Data from these experiments will provide information essential to hypotheses concerning the nature of associative processing within this region. To evaluate these hypotheses, a computational model of the CA3-CA1 network will be developed to explain observed experimental results. Modeling and data analysis work will be done on high performance RISC workstations utilizing supercomputer resources if necessary. Overall, this work represents an attempt to integrate systems level neurophysiological data with predictions made by computational theories of learning and memory through the use of computer modeling.