Behavioral and electrophysiological evidence for the flexible recruitment of feature- and object-based processing in visual working memory comparison

工作记忆 特征(语言学) 任务(项目管理) 心理学 变更检测 事件相关电位 对象(语法) 视觉处理 计算机科学 认知心理学 模式识别(心理学) 人工智能 认知 感知 神经科学 经济 管理 哲学 语言学
作者
Stephanie Saltzmann,Katherine Moen,Brandon J. Eich,Felicia M. Chaisson,Gaojie Fan,Rebecca R. Goldstein,Melissa R. Beck,Heather D. Lucas
出处
期刊:Biological Psychology [Elsevier]
卷期号:178: 108528-108528
标识
DOI:10.1016/j.biopsycho.2023.108528
摘要

Previous research is inconclusive on when visual working memory (VWM) can be object-based or feature-based. Prior event-related potential (ERP) studies using change detection tasks have found that amplitudes of the N200-an ERP index of VWM comparison- are sensitive to changes in both relevant and irrelevant features, suggesting a bias toward object-based processing. To test whether VWM comparison processing can operate in a feature-based manner, we aimed to create circumstances that would support feature-based processing by: 1) using a strong task-relevance manipulation, and 2) repeating features within a display. Participants completed two blocks of a change detection task for four-item displays in which they were told to respond to color changes (task relevant) but not shape changes (task irrelevant). The first block contained only task-relevant changes to create a strong task-relevance manipulation. In the second block, both relevant and irrelevant changes were present. In both blocks, half of the arrays contained within-display feature repetitions (e.g. two items of the same color or shape). We found that during the second block, N200 amplitudes were sensitive to task-relevant but not irrelevant features regardless of repetition status, consistent with feature-based processing. However, analyses of behavioral data and N200 latencies suggested that object-based processing was occurring at some stages of VWM processing on task-irrelevant feature change trials. In particular, task-irrelevant changes may be processed after no task-relevant feature change is revealed. Overall, the results from the current study suggest that the VWM processing is flexible and can be either object- or feature-based.
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