Cantor coding provides an information coding scheme for temporal sequences of events. In the hippocampal CA3–CA1 network, Cantor coding-like mechanism was observed in pyramidal neurons and the relationship between input pattern and recorded responses could be described as an iterated function system. However, detailed physiological properties of the system in CA1 remain unclear. Here, we performed a detailed analysis of the properties of the system related to the physiological basis of learning and memory. First, we investigated whether the system could be simply based on a series of on–off responses of excitatory postsynaptic potential (EPSP) amplitudes. We applied a series of three spatially distinct input patterns with similar EPSP peak amplitudes. The membrane responses showed significant differences in spatial clustering properties related to the iterated function system. These results suggest that existence of some factors, which do not simply depend on a series of on–off responses but on spatial patterns in the system. Second, to confirm whether the system is dependent on the interval of sequential input, we applied spatiotemporal sequential inputs at several intervals. The optimal interval was 30 ms, similar to the physiological input from CA3 to CA1. Third, we analyzed the inhibitory network dependency of the system. After GABA_A receptor blocker (gabazine) application, quality of code discrimination in the system was lower under subthreshold conditions and higher under suprathreshold conditions. These results suggest that the inhibitory network increase the difference between the responses under sub- and suprathreshold conditions. In summary, Cantor coding-like iterated function system appears to be suitable for information expression in relation to learning and memory in CA1 network.

康托尔编码为事件的时间序列提供了一种信息编码方案。在海马 CA3-CA1 网络中，在锥体神经元中观察到类似康托尔编码的机制，输入模式和记录的反应之间的关系可以描述为一个迭代的函数系统。然而，CA1 系统的详细生理特性仍不清楚。在这里，我们对与学习和记忆的生理基础相关的系统特性进行了详细分析。首先，我们研究了该系统是否可以简单地基于兴奋性突触后电位 (EPSP) 幅度的一系列开关响应。我们应用了一系列具有相似 EPSP 峰值幅度的三个空间不同的输入模式。膜响应显示出与迭代函数系统相关的空间聚类特性的显着差异。这些结果表明存在一些因素，这些因素不仅取决于一系列开关响应，还取决于系统中的空间模式。其次，为了确认系统是否依赖于顺序输入的区间，我们在几个区间应用了时空顺序输入。最佳间隔为 30 ms，类似于从 CA3 到 CA1 的生理输入。第三，我们分析了系统的抑制性网络依赖性。GABA后 为了确认系统是否依赖于顺序输入的区间，我们在几个区间应用了时空顺序输入。最佳间隔为 30 ms，类似于从 CA3 到 CA1 的生理输入。第三，我们分析了系统的抑制性网络依赖性。GABA后 为了确认系统是否依赖于顺序输入的区间，我们在几个区间应用了时空顺序输入。最佳间隔为 30 ms，类似于从 CA3 到 CA1 的生理输入。第三，我们分析了系统的抑制性网络依赖性。GABA后_{受体阻滞剂 ( gabazine} ) 应用，系统中的代码识别质量在阈下条件下较低，在阈上条件下较高。这些结果表明抑制网络增加了亚阈值和超阈值条件下的反应之间的差异。综上所述，类康托编码的迭代函数系统似乎适用于 CA1 网络中与学习和记忆相关的信息表达。