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Visual and linguistic semantic representations are aligned at the border of human visual cortex.视觉和语言语义表示在人类视觉皮层的边界处对齐。
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注意到和忽略的物体表象的时间进程。

Time Courses of Attended and Ignored Object Representations.

机构信息

University of California, Davis.

University of California, Berkeley.

出版信息

J Cogn Neurosci. 2023 Apr 1;35(4):645-658. doi: 10.1162/jocn_a_01972.

DOI:10.1162/jocn_a_01972
PMID:36735619
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10024573/
Abstract

Selective attention prioritizes information that is relevant to behavioral goals. Previous studies have shown that attended visual information is processed and represented more efficiently, but distracting visual information is not fully suppressed, and may also continue to be represented in the brain. In natural vision, to-be-attended and to-be-ignored objects may be present simultaneously in the scene. Understanding precisely how each is represented in the visual system, and how these neural representations evolve over time, remains a key goal in cognitive neuroscience. In this study, we recorded EEG while participants performed a cued object-based attention task that involved attending to target objects and ignoring simultaneously presented and spatially overlapping distractor objects. We performed support vector machine classification on the stimulus-evoked EEG data to separately track the temporal dynamics of target and distractor representations. We found that (1) both target and distractor objects were decodable during the early phase of object processing (∼100 msec to ∼200 msec after target onset), and (2) the representations of both objects were sustained over time, remaining decodable above chance until ∼1000-msec latency. However, (3) the distractor object information faded significantly beginning after about 300-msec latency. These findings provide information about the fate of attended and ignored visual information in complex scene perception.

摘要

选择性注意优先处理与行为目标相关的信息。先前的研究表明,被注意的视觉信息得到了更有效的处理和表示,但分散注意力的视觉信息并未被完全抑制,可能仍然在大脑中得到表示。在自然视觉中,待注意和待忽略的物体可能同时存在于场景中。精确地理解每个物体在视觉系统中是如何被表示的,以及这些神经表示是如何随时间演变的,仍然是认知神经科学的一个关键目标。在这项研究中,我们在参与者执行基于目标的提示注意任务时记录了 EEG,该任务涉及注意目标对象并忽略同时呈现的空间重叠干扰对象。我们对刺激诱发的 EEG 数据进行了支持向量机分类,以分别跟踪目标和干扰表示的时间动态。我们发现:(1)在对象处理的早期阶段(目标出现后约 100 毫秒至 200 毫秒),目标和干扰对象都可以解码;(2)两个对象的表示都随时间持续存在,在约 1000 毫秒潜伏期之前保持可解码,高于随机水平;(3)然而,干扰对象的信息在约 300 毫秒潜伏期后开始显著减弱。这些发现提供了关于复杂场景感知中注意和忽略的视觉信息的命运的信息。