Related Experiment Video
Updated: Nov 29, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Object-based attention prioritizes working memory contents at a theta rhythm
Benjamin Peters1, Jochen Kaiser1, Benjamin Rahm2
1Institute of Medical Psychology.
Abstract:
Attention selects relevant information regardless of whether it is physically present or internally stored in working memory. Perceptual research has shown that attentional selection of external information is better conceived as rhythmic prioritization than as stable allocation. Here we tested this principle using information processing of internal representations held in working memory. Participants memorized 4 spatial positions that formed the end points of 2 objects. One of the positions was cued for a delayed match-nonmatch test. When uncued positions were probed, participants responded faster to uncued positions located on the same object as the cued position than to those located on the other object, revealing object-based attention in working memory. Manipulating the interval between cue and probe at a high temporal resolution revealed that reaction times oscillated at a theta rhythm of 6 Hz. Moreover, oscillations showed an antiphase relationship between memorized but uncued positions on the same versus other object as the cued position, suggesting that attentional prioritization fluctuated rhythmically in an object-based manner. Our results demonstrate the highly rhythmic nature of attentional selection in working memory. Moreover, the striking similarity between rhythmic attentional selection of mental representations and perceptual information suggests that attentional oscillations are a general mechanism of information processing in human cognition. These findings have important implications for current, attention-based models of working memory. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Related Concept Videos
Working Memory
High-Level and Low-Level Awareness

