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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Induced alpha rhythms track the content and quality of visual working memory representations with high temporal precision
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Induced alpha rhythms track the content and quality of visual working memory representations with high temporal precision

机译:诱导的Alpha节奏以较高的时间精度跟踪视觉工作记忆表示的内容和质量

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Past work has suggested that neuronal oscillations coordinate the cellular assemblies that represent items in working memory (WM). In line with this hypothesis, we show that the spatial distribution of power in the alpha frequency band (8-12 Hz) can be used to decode the content and quality of the representations stored in visual WM. We acquired EEG data during an orientation WM task, and used a forward encoding model of orientation selectivity to reconstruct orientation-specific response profiles (termed channel tuning functions, or CTFs) that tracked the orientation of the memorandum during both encoding and delay periods of the trial. Critically, these EEG-based CTFs were robust predictors of both between- and within-subject differences in mnemonic precision, showing that EEG-based CTFs provide a sensitive measure of the quality of sensory population codes. Experiments 2 and 3 established that these EEG-based CTFs are contingent on the voluntary storage goals of the observer. When observers were given a postsample cue to store or drop the memorandum, the resulting CTF was sustained in the "store" condition and rapidly eliminated following the "drop" cue. When observers were instructed to store one of two simultaneously presented stimuli, only the stored item was represented in a sustained fashion throughout the delay period. These findings suggest that the oscillatory activity in the alpha frequency band plays a central role in the active storage of information in visual WM, and demonstrate a powerful approach for tracking the precision of on-line memories with high temporal resolution.
机译:过去的工作表明,神经元振荡会协调代表工作记忆(WM)中各项的细胞装配。符合此假设,我们表明可以使用alpha频带(8-12 Hz)中功率的空间分布来解码视觉WM中存储的表示的内容和质量。我们在定向WM任务期间获取了EEG数据,并使用定向选择性的前向编码模型重构了特定于定向的响应配置文件(称为通道调整功能或CTF),该配置文件在备忘录的编码和延迟期间都跟踪了备忘录的定向。试用。至关重要的是,这些基于EEG的CTF可以可靠地预测受试者之间和受试者内部的助记符精度差异,这表明基于EEG的CTF提供了一种敏感的感官人口代码质量度量。实验2和3确定了这些基于EEG的CTF取决于观察者的自愿存储目标。当为观察者提供存储或删除备忘录的后采样提示时,所得的周转金会维持在“存储”状态,并在“删除”提示后迅速消除。当指示观察者存储同时出现的两个刺激中的一个时,在整个延迟时间内,只有存储的项目以持续的方式被表示。这些发现表明,α频段的振荡活动在视觉WM中信息的主动存储中起着核心作用,并展示了一种强大的方法来跟踪具有高时间分辨率的在线存储器的精度。

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