瞬时细胞组装网络编码持久空间记忆
Transient cell assembly networks encode persistent spatial memories
摘要：
虽然对环境的认知表征可以持续数天甚至数月，但作为这些表征基础的神经元网络的突触结构由于各种形式的突触和结构可塑性而在更快的时间尺度上不断变化。这就提出了一个直接的问题：一个瞬态网络如何保持空间的稳定表示？在下文中，我们提出了一个计算模型，用于描述出现的海马认知地图在网络中的短暂的位置细胞组件和证明，使用代数拓扑的方法，这样的网络可以保持一个强大的地图的环境。
英文摘要：
While cognitive representations of an environment can last for days and even months, the synaptic architecture of the neuronal networks that underlie these representations constantly changes due to various forms of synaptic and structural plasticity at a much faster timescale. This raises an immediate question: how can a transient network maintain a stable representation of space? In the following, we propose a computational model for describing emergence of the hippocampal cognitive map in a network of transient place cell assemblies and demonstrate, using methods of algebraic topology, that such a network can maintain a robust map of the environment.
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。
