摘要翻译：
对目前有关脑部海马区神经细胞活动的实验结果的拟议分析表明了空间信息和记忆处理的特殊机制。下面，我们认为，通过对海马细胞活动的分析可以获得的空间信息主要是拓扑性质的。指出直接拓扑分析可以产生基于拓扑不变量的细胞活动模式分类和动物当前环境的完整拓扑描述。它还为空间结构和动物导航策略的局部拓扑推理提供了完整的一阶逻辑系统。
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英文标题：
《Topological coding in hippocampus》
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作者：
Yu. Dabaghian, A. G. Cohn and L. Frank
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最新提交年份：
2007
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Quantitative Biology        数量生物学
二级分类：Neurons and Cognition        神经元与认知
分类描述：Synapse, cortex, neuronal dynamics, neural network, sensorimotor control, behavior, attention
突触，皮层，神经元动力学，神经网络，感觉运动控制，行为，注意
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一级分类：Quantitative Biology        数量生物学
二级分类：Quantitative Methods        定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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英文摘要：
  The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is argued that the spatial information available through the analysis of the hippocampal cell activity is predominantly of topological nature. It is pointed out that a direct topological analysis can produce a topological invariant based classification of the cell activity patterns and a complete topological description of animal's current environment. It also provides a full first order logical system for local topological reasoning about spatial structure and animal's navigational strategies.
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PDF链接：
https://arxiv.org/pdf/q-bio/0702052