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Visual working memory load induces similar representational structures in a distributed cortical network

机译:视觉工作记忆负荷在分布式皮质网络中诱发相似的表示结构

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Visual working memory load induces similar representational structures in a distributed cortical network Working memory is a cognitive process for temporarily holding information, which is stored in a distributed neural system by neu- ral population coding, to guide task-relevant actions. However, the effects of working memory load on the coding characteristics in the neural system still remain unclear. Here, we investigated the cod- ing characteristics under different working memory loads in the distributed neural system using neural representational structures of visual stimulus. We used n-back working memory task fMRI data from Human Connectome Project dataset. We specified the neural system participating in the visual object working memory process by using the general linear model analysis. We constructed the neural representational structure using inter-stimulus neural rep- resentational distance matrix (IS-RDM), which is calculated as one minus Pearson correlations between multi-voxel fMRI activity pat- terns of all stimulus pairs in each region. We made IS-RDM of probe objects, which are externally presented, for both task conditions and an IS-RDM of target objects, which are internally maintained, for the 2-back condition. We calculated the mean and standard deviation of IS-RDM to estimate the size and shape of the struc- ture. We compared them between 0- and 2-back conditions in the distributed neural system. We found that the mean and standard deviation of IS-RDM are different between the 0- and 2-back con- ditions in most regions. Next, we found that Inter-regional IS-RDM similarity in the distributed neural system is significantly increased in the 2-back conditions for both target and probe objects. Finally, we found that the Inter-regional IS-RDM similarity is significantly increased in correct trials than in false trials for target objects of 0-back and probe objects of 2-back conditions. These results indi- cate that the working memory load modulates the size and shape of the neural representational structures in the distributed neural system to shape a similar structure, which induces better working memory.
机译:视觉工作记忆负荷会在分布式皮层网络中引发相似的表示结构。工作记忆是一个认知过程,用于暂时保存信息,该信息通过神经人口编码存储在分布式神经系统中,以指导与任务相关的动作。但是,工作记忆负载对神经系统中编码特性的影响仍然不清楚。在这里,我们使用视觉刺激的神经表示结构研究了分布式神经系统中不同工作记忆负载下的编码特性。我们使用了来自人类Connectome项目数据集的n背工作记忆任务fMRI数据。通过使用一般的线性模型分析,我们指定了参与视觉对象工作记忆过程的神经系统。我们使用刺激间神经代表距离矩阵(IS-RDM)构造了神经表示结构,该矩阵被计算为每个区域中所有刺激对的多体素fMRI活动模式之间的减去皮尔逊相关性。我们针对任务条件制作了从外部展示的探测对象的IS-RDM,对于2-back条件制作了内部维护的目标对象的IS-RDM。我们计算了IS-RDM的平均值和标准偏差,以估算结构的大小和形状。我们在分布式神经系统中比较了0和2背条件之间的差异。我们发现,在大多数地区,在0向和2向条件下,IS-RDM的均值和标准差都不同。接下来,我们发现在目标对象和探测对象的2-back条件下,分布式神经系统中的区域间IS-RDM相似性显着提高。最后,我们发现对于0后退目标对象和2后退条件的探测对象,正确试验中的区域间IS-RDM相似性明显高于错误试验。这些结果表明,工作记忆负荷可调节分布式神经系统中神经表示结构的大小和形状,以形成相似的结构,从而产生更好的工作记忆。

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