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多项物体追踪中的过滤机制的成功训练不会转移到视觉工作记忆任务中的过滤机制:行为和电生理证据。

Successful training of filtering mechanisms in multiple object tracking does not transfer to filtering mechanisms in a visual working memory task: behavioral and electrophysiological evidence.

机构信息

International Research Training Group Adaptive Minds, Saarland University, Germany.

出版信息

Neuropsychologia. 2012 Aug;50(10):2379-88. doi: 10.1016/j.neuropsychologia.2012.06.007. Epub 2012 Jun 18.

Abstract

In this training study, we aimed to selectively train participants' filtering mechanisms to enhance visual working memory (WM) efficiency. The highly restricted nature of visual WM capacity renders efficient filtering mechanisms crucial for its successful functioning. Filtering efficiency in visual WM can be measured via the lateralized change detection task with distractors. From an array of items, only a subsample must be memorized (targets), whereas distractors must be filtered out. From the EEG recorded while items are maintained in memory, slow potentials over posterior recording sides can be extracted. In addition, the contralateral delay activity (CDA) can be calculated as the difference wave between contralateral and ipsilateral slow potentials. As the amplitudes of contralateral slow potentials and CDA reflect the number of remembered items, one can infer if distractors were filtered out. Efficient filtering mechanisms are also highly important in multiple object tracking (MOT). We trained participants' filtering ability with the aid of this latter task. Filtering in both tasks is assumed to happen via allocation of selective attention. We observed large training-induced improvements in MOT. However, these improvements did not transfer to improved filtering mechanisms in the change detection task. Instead, we obtained suggestive evidence for an overall improvement in filtering mechanisms in the change detection task for both the training and control group. Apparently, there exist differences in the exact nature of filtering mechanisms that operate in change detection and MOT.

摘要

在这项培训研究中,我们旨在有针对性地训练参与者的过滤机制,以提高视觉工作记忆(WM)的效率。视觉 WM 容量的高度限制性质使得有效的过滤机制对于其成功运作至关重要。可以通过具有干扰项的侧向变化检测任务来测量视觉 WM 中的过滤效率。在一组项目中,只有一小部分(目标)需要被记住,而干扰项必须被过滤掉。从保持记忆中的项目时记录的 EEG 中,可以提取出后记录侧的慢电位。此外,可以将对侧延迟活动(CDA)计算为对侧和同侧慢电位之间的差值波。由于对侧慢电位和 CDA 的振幅反映了被记住的项目数量,因此可以推断出是否过滤掉了干扰项。在多目标跟踪(MOT)中,高效的过滤机制也非常重要。我们借助后一项任务来训练参与者的过滤能力。假设在这两个任务中,过滤都是通过选择性注意的分配来实现的。我们观察到 MOT 中产生了很大的训练诱导改进。然而,这些改进并没有转移到变化检测任务中过滤机制的改善上。相反,我们为变化检测任务中的过滤机制的整体改善提供了有启发性的证据,无论是在训练组还是对照组中。显然,在变化检测和 MOT 中起作用的过滤机制的精确性质存在差异。

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