Basso Edward, Arai Mamiko, Dabaghian Yuri
Department of Physics, Rice University, Houston, Texas, United States of America.
Department of Mathematics, Tokyo Women's Christian University, 2-6-1 Zempukuji, Suginami-ku, Tokyo, Japan.
PLoS Comput Biol. 2016 Sep 16;12(9):e1005114. doi: 10.1371/journal.pcbi.1005114. eCollection 2016 Sep.
The mammalian hippocampus plays a crucial role in producing a cognitive map of space-an internalized representation of the animal's environment. We have previously shown that it is possible to model this map formation using a topological framework, in which information about the environment is transmitted through the temporal organization of neuronal spiking activity, particularly those occasions in which the firing of different place cells overlaps. In this paper, we discuss how gamma rhythm, one of the main components of the extracellular electrical field potential affects the efficiency of place cell map formation. Using methods of algebraic topology and the maximal entropy principle, we demonstrate that gamma modulation synchronizes the spiking of dynamical cell assemblies, which enables learning a spatial map at faster timescales.
哺乳动物的海马体在生成空间认知地图(即动物环境的内化表征)方面起着至关重要的作用。我们之前已经表明,使用拓扑框架对这种地图形成进行建模是可行的,在该框架中,关于环境的信息通过神经元放电活动的时间组织来传递,特别是不同位置细胞放电重叠的那些情况。在本文中,我们讨论细胞外电场电位的主要成分之一——伽马节律如何影响位置细胞地图形成的效率。利用代数拓扑方法和最大熵原理,我们证明伽马调制使动态细胞集合的放电同步,这使得能够在更快的时间尺度上学习空间地图。