In the present study we have used a set of methods and metrics to build a graph of relative neural connections in a hippocampus of a rodent. A set of graphs was built on top of time-sequenced data and analyzed in terms of dynamics of a connection genesis. The analysis has shown that during the process of a rodent exploring a novel environment, the relations between neurons constantly change which indicates that globally memory is constantly updated even for known areas of space. Even if some neurons gain cognitive specialization, the global network though remains relatively stable. Additionally we suggest a set of methods for building a graph of cognitive neural network.

翻译：本研究采用一系列方法及度量指标，构建了啮齿动物海马体中相对神经连接的图结构。基于时序数据构建了多个图，并从连接生成动力学的角度进行了分析。分析结果表明，在啮齿动物探索新环境的过程中，神经元之间的关联持续变化，这表明即使在已知空间区域，记忆也在全局层面不断更新。即便部分神经元获得了认知特化，全局网络仍保持相对稳定。此外，我们提出了一套构建认知神经网络图的方法。