Analysis of Ensemble Encoding and Parallel Computation in Mammalian Brain

本提案中描述的研究将研究空间 和时间结构的集合编码信息 老鼠的海马体。 这些实验的数据将 提供关于自然的假设所必需的信息 在这个区域内的关联处理。 评估这些 假设，CA 3-CA 1网络的计算模型将是 用来解释观察到的实验结果。 建模与 数据分析工作将在高性能RISC上进行 如有必要，可使用超级计算机资源。 总的来说，这项工作代表了一种尝试， 将神经生理学数据与 学习和记忆的计算理论， 计算机模拟

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.