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Ensemble representations reveal distinct neural coding of visual working memory

机译:集合表示揭示了视觉工作记忆的不同神经编码

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We characterized the population-level neural coding of ensemble representations in visual working memory from human electroencephalography. Ensemble representations provide a unique opportunity to investigate structured representations of working memory because the visual system encodes high-order summary statistics as well as noisy sensory inputs in a hierarchical manner. Here, we consistently observe stable coding of simple features as well as the?ensemble mean in frontocentral electrodes, which even correlated with behavioral indices of the ensemble across individuals. In occipitoparietal electrodes, however, we find that remembered features are dynamically coded over time, whereas neural coding of the ensemble mean is absent in the old/new judgment task. In contrast, both dynamic and stable coding are found in the continuous estimation task. Our findings suggest that the prefrontal cortex holds behaviorally relevant abstract representations while visual representations in posterior and visual areas are modulated by the task demands.
机译:从人类脑电图中征在视觉工作记忆中的集合表示的人口级神经编码。集合表示提供了调查工作内存的结构化表示的独特机会,因为视觉系统以分层方式编码大阶摘要统计信息以及嘈杂的感觉输入。在这里,我们始终如一地观察到稳定的简单特征编码以及概述的概况,甚至与各个集合的行为指数相关联。然而,在枕骨电极中,我们发现记忆的功能随着时间的推移而动态编码,而在旧的/新判断任务中缺席集合均值的神经编码。相比之下,在连续估计任务中找到动态和稳定的编码。我们的研究结果表明,前额叶Cortex持有行为相关的抽象表示,而后验和视觉区域的视觉表示由任务需求调制。

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