Decoding hierarchical control of sequential behavior in oscillatory EEG activity.
Decoding hierarchical control of sequential behavior in oscillatory EEG activity.
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作者：
Kikumoto A;Mayr U
尽管有充分的理论理由假设抽象表征按照子计划（块）和顺序位置来组织复杂的动作序列，但我们缺乏直接跟踪人类中这种与内容无关的分层表征的方法。我们将时间分辨的多变量解码分析应用于参与者计划和执行预先学习的结构化序列中的各个元素时记录的节律脑电图活动模式。在三个实验中，theta 和 alpha 带活动编码了基本元素和抽象控制表示，特别是基本元素的顺序位置，以及块的身份和位置。此外，仅在工作记忆容量高于中位数的个体中发现了更高级别的块身份信息的稳健表示，这可能为顺序表现中的工作记忆差异提供神经水平的解释。我们的结果表明，通过解码振荡活动，我们可以跟踪认知系统如何遍历分层控制结构的状态。
Despite strong theoretical reasons for assuming that abstract representations organize complex action sequences in terms of subplans (chunks) and sequential positions, we lack methods to directly track such content-independent, hierarchical representations in humans. We applied time-resolved, multivariate decoding analysis to the pattern of rhythmic EEG activity that was registered while participants planned and executed individual elements from pre-learned, structured sequences. Across three experiments, the theta and alpha-band activity coded basic elements and abstract control representations, in particular, the ordinal position of basic elements, but also the identity and position of chunks. Further, a robust representation of higher level, chunk identity information was only found in individuals with above-median working memory capacity, potentially providing a neural-level explanation for working-memory differences in sequential performance. Our results suggest that by decoding oscillatory activity we can track how the cognitive system traverses through the states of a hierarchical control structure.