In present paper we discuss several approaches to reconstructing the topology of the physical space from neural activity data of CA1 fields in mice hippocampus, in particular, having Cognitome theory of brain function in mind. In our experiments, animals were placed in different new environments and discovered these moving freely while their physical and neural activity was recorded. We test possible approaches to identifying place cell groups out of the observed CA1 neurons. We also test and discuss various methods of dimension reduction and topology reconstruction. In particular, two main strategies we focus on are the Nerve theorem and point cloud-based methods. Conclusions on the results of reconstruction are supported with illustrations and mathematical background which is also briefly discussed.
翻译:在本文件中,我们讨论从小鼠河马坎普斯的CA1球场神经活动数据中重建物理空间的地形学的几种方法,特别是考虑到Cognitom脑功能理论。在我们的实验中,动物被安置在不同的新环境中,在记录其物理和神经活动的同时,发现它们自由移动。我们测试了在所观测到的CA1神经体中确定地点细胞群的可能方法。我们还测试和讨论各种减少尺寸和地表重建的方法。特别是,我们关注的两个主要战略是Nerve定理和点云法。关于重建结果的结论得到了插图和数学背景的支持,这些结论也得到了简要的讨论。