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人类视觉短期记忆中多种表象格式的稳定维持。

Stable maintenance of multiple representational formats in human visual short-term memory.

机构信息

State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 100875 Beijing, China.

IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875 Beijing, China.

出版信息

Proc Natl Acad Sci U S A. 2020 Dec 22;117(51):32329-32339. doi: 10.1073/pnas.2006752117. Epub 2020 Dec 7.

Abstract

Visual short-term memory (VSTM) enables humans to form a stable and coherent representation of the external world. However, the nature and temporal dynamics of the neural representations in VSTM that support this stability are barely understood. Here we combined human intracranial electroencephalography (iEEG) recordings with analyses using deep neural networks and semantic models to probe the representational format and temporal dynamics of information in VSTM. We found clear evidence that VSTM maintenance occurred in two distinct representational formats which originated from different encoding periods. The first format derived from an early encoding period (250 to 770 ms) corresponded to higher-order visual representations. The second format originated from a late encoding period (1,000 to 1,980 ms) and contained abstract semantic representations. These representational formats were overall stable during maintenance, with no consistent transformation across time. Nevertheless, maintenance of both representational formats showed substantial arrhythmic fluctuations, i.e., waxing and waning in irregular intervals. The increases of the maintained representational formats were specific to the phases of hippocampal low-frequency activity. Our results demonstrate that human VSTM simultaneously maintains representations at different levels of processing, from higher-order visual information to abstract semantic representations, which are stably maintained via coupling to hippocampal low-frequency activity.

摘要

视觉短期记忆(VSTM)使人类能够形成对外界稳定而连贯的表示。然而,VSTM 中支持这种稳定性的神经表示的性质和时间动态仍知之甚少。在这里,我们结合人类颅内脑电图(iEEG)记录和使用深度神经网络和语义模型进行的分析,探究了 VSTM 中信息的表示格式和时间动态。我们发现明确的证据表明,VSTM 的维持发生在两种不同的表示格式中,这两种格式起源于不同的编码时期。第一种格式源于早期编码期(250 至 770 毫秒),对应于较高阶的视觉表示。第二种格式源于晚期编码期(1000 至 1980 毫秒),包含抽象的语义表示。这些表示格式在维持过程中总体上是稳定的,没有随时间的一致转换。然而,两种表示格式的维持都表现出明显的非周期性波动,即在不规则间隔内的涨落。维持的表示格式的增加与海马体低频活动的相位特定相关。我们的结果表明,人类 VSTM 同时在不同的加工水平上维持表示,从高阶视觉信息到抽象语义表示,这些表示通过与海马体低频活动的耦合而稳定维持。

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