海马空间映射的拓扑稳定性与突触瞬变
Topological stability of the hippocampal spatial map and synaptic transience
摘要：
哺乳动物的空间意识是基于对环境的内在表征--认知地图--由尖峰神经元网络编码。虽然行为研究表明这些地图可以长期保持稳定，但众所周知，由于各种形式的神经元可塑性，突触连接的基础网络不断改变其结构。这就提出了一个主要问题：一个动态网络如何编码一个稳定的空间地图？在下文中，我们讨论了一些最近的结果，在这个方向上使用代数拓扑建模方法，这表明，出现稳定的认知地图产生的网络与瞬态架构不仅是可能的，但可能是一个普遍的现象。
英文摘要：
Spatial awareness in mammals is based on internalized representations of the environment---cognitive maps---encoded by networks of spiking neurons. Although behavioral studies suggest that these maps can remain stable for long periods, it is also well-known that the underlying networks of synaptic connections constantly change their architecture due to various forms of neuronal plasticity. This raises a principal question: how can a dynamic network encode a stable map of space? In the following, we discuss some recent results obtained in this direction using an algebro-topological modeling approach, which demonstrate that emergence of stable cognitive maps produced by networks with transient architectures is not only possible, but may be a generic phenomenon.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
