标题： 瞬态网络中的持久记忆 显示英文标题

标题： Persistent memories in transient networks

摘要： 哺乳动物的空间意识基于对环境的内部表示，这种表示由大量脉冲神经元网络编码。 尽管这种表示可以持续很长时间，但其下的神经元网络是短暂的：神经元细胞每天都会死亡，突触连接会消失和出现，由于各种形式的突触和结构可塑性，网络不断改变其架构。 具有动态架构的网络如何编码稳定的空间地图？ 我们使用一个“闪烁”神经元网络的生理模型来解决这个问题，并证明它可以保持空间的鲁棒拓扑表示。 显示英文摘要

摘要： Spatial awareness in mammals is based on an internalized representation of the environment, encoded by large networks of spiking neurons. While such representations can last for a long time, the underlying neuronal network is transient: neuronal cells die every day, synaptic connections appear and disappear, the networks constantly change their architecture due to various forms of synaptic and structural plasticity. How can a network with a dynamic architecture encode a stable map of space? We address this question using a physiological model of a "flickering" neuronal network and demonstrate that it can maintain a robust topological representation of space.