Neuronal representations change as associations are learned between sensory stimuli and behavioral actions. However, it is poorly understood whether representations for learned associations stabilize in cortical association areas or continue to change following learning. We tracked the activity of posterior parietal cortex neurons for a month as mice stably performed a virtual-navigation task. The relationship between cells' activity and task features was mostly stable on single days but underwent major reorganization over weeks. The neurons informative about task features (trial type and maze locations) changed across days. Despite changes in individual cells, the population activity had statistically similar properties each day and stable information for over a week. As mice learned additional associations, new activity patterns emerged in the neurons used for existing representations without greatly affecting the rate of change of these representations. We propose that dynamic neuronal activity patterns could balance plasticity for learning and stability for memory.

中文翻译：

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顶叶皮层神经元活动模式的动态重组。

随着感觉刺激与行为动作之间的联系的学习，神经元的表征也会发生变化。然而，人们对所学协会的表征是在皮层协会区域稳定还是在学习后继续变化的了解很少。当小鼠稳定地执行虚拟导航任务时，我们追踪了一个月的顶叶后皮质神经元的活动。细胞活动与任务特征之间的关系在单日大部分稳定，但在数周内进行了重大重组。有关任务特征（试验类型和迷宫位置）的信息丰富的神经元在几天内发生了变化。尽管单个细胞发生了变化，但种群活动每天仍具有统计上相似的属性，并且一周内的信息稳定。当老鼠学会了更多的联想时，新的活动模式出现在用于现有表示的神经元中，而不会极大地影响这些表示的变化率。我们建议动态的神经元活动模式可以平衡学习的可塑性和记忆的稳定性。