School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
Elife. 2024 Jul 24;12:RP93158. doi: 10.7554/eLife.93158.
Daily experiences often involve the processing of multiple sequences, yet storing them challenges the limited capacity of working memory (WM). To achieve efficient memory storage, relational structures shared by sequences would be leveraged to reorganize and compress information. Here, participants memorized a sequence of items with different colors and spatial locations and later reproduced the full color and location sequences one after another. Crucially, we manipulated the consistency between location and color sequence trajectories. First, sequences with consistent trajectories demonstrate improved memory performance and a trajectory correlation between reproduced color and location sequences. Second, sequences with consistent trajectories show neural reactivation of common trajectories, and display spontaneous replay of color sequences when recalling locations. Finally, neural reactivation correlates with WM behavior. Our findings suggest that a shared common structure is leveraged for the storage of multiple sequences through compressed encoding and neural replay, together facilitating efficient information organization in WM.
日常生活经验经常涉及多个序列的处理,但存储这些序列会挑战工作记忆(WM)的有限容量。为了实现有效的记忆存储,可以利用序列之间共享的关系结构来重组和压缩信息。在这里,参与者记忆了一系列具有不同颜色和空间位置的项目,然后逐个再现完整的颜色和位置序列。至关重要的是,我们操纵了位置和颜色序列轨迹之间的一致性。首先,具有一致轨迹的序列表现出更好的记忆性能和再现的颜色和位置序列之间的轨迹相关性。其次,具有一致轨迹的序列显示出共同轨迹的神经再激活,并在回忆位置时自发地再现颜色序列。最后,神经再激活与 WM 行为相关。我们的研究结果表明,通过压缩编码和神经再激活,利用共享的共同结构来存储多个序列,共同促进 WM 中信息的有效组织。