首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Distributed patterns of activity in sensory cortex reflect the precision of multiple items maintained in visual short-term memory
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Distributed patterns of activity in sensory cortex reflect the precision of multiple items maintained in visual short-term memory

机译:感觉皮层活动的分布模式反映了视觉短期记忆中维持的多个项目的精度

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摘要

Traditionally, load sensitivity of sustained, elevated activity has been taken as an index of storage for a limited number of items in visual short-term memory (VSTM). Recently, studies have demonstrated that the contents of a single item held in VSTM can be decoded from early visual cortex, despite the fact that these areas do not exhibit elevated, sustained activity. It is unknown, however, whether the patterns of neural activity decoded from sensory cortex change as a function of load, as one would expect from a region storing multiple representations. Here, we use multivoxel pattern analysis to examine the neural representations of VSTM in humans across multiple memory loads. In an important extension of previous findings, our results demonstrate that the contents of VSTM can be decoded from areas that exhibit a transient response to visual stimuli, but not from regions that exhibit elevated, sustained load-sensitive delay-period activity. Moreover, the neural information present in these transiently activated areas decreases significantly with increasing load, indicating load sensitivity of the patterns of activity that support VSTM maintenance. Importantly, the decrease in classification performance as a function of load is correlated with within-subject changes in mnemonic resolution. These findings indicate that distributed patterns of neural activity in putatively sensory visual cortex support the representation and precision of information in VSTM.
机译:传统上,持续,升高活动的负载敏感度已被用作视觉短期记忆(VSTM)中有限数量项目的存储指标。最近,研究表明,尽管这些区域没有表现出升高的持续活动,但可以从早期的视觉皮层中解码VSTM中保存的单个项目的内容。然而,未知的是,从感觉皮层解码的神经活动的模式是否随负荷而变化,正如人们从存储多个表示的区域所期望的那样。在这里,我们使用多体素模式分析来检查跨多个内存负载的人体内VSTM的神经表示。在先前发现的重要扩展中,我们的结果表明,VSTM的内容可以从对视觉刺激表现出瞬时响应的区域中解码,而不能从表现出持续的,对负载敏感的延迟期活动的区域中解码。此外,这些瞬时激活区域中存在的神经信息随负荷增加而显着减少,表明支持VSTM维护的活动模式的负荷敏感性。重要的是,作为负载函数的分类性能下降与记忆分辨率的受试者内部变化相关。这些发现表明,推测的感觉视觉皮层中神经活动的分布模式支持VSTM中信息的表示和精度。

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