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The dominoes of features: Dynamic sequential refinement of working memory representations
Shengyuan Wang1, Xiaoying Min1, Xiaowei Ding1
1Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Sun Yat-sen University, Guangzhou, China.
Working memory refinement is neither object-based nor feature-based. Instead, it dynamically refines features sequentially, with transmission taking time.
Area of Science:
- Cognitive Psychology
- Neuroscience
Background:
- Working memory (WM) allows for temporary information storage and manipulation.
- WM refinement, such as repulsion, adapts to maintain relevant information.
- The fundamental unit of WM refinement (object vs. feature) remains unclear.
Purpose of the Study:
- To investigate whether working memory refinement applies to entire objects or individual features.
- To determine if feature-based distortions in WM can transfer to other features of the same object.
Main Methods:
- Utilized dual-feature objects in a continuous memory task.
- Examined the transmission of repulsion distortion from a trigger feature to a dependent feature.
- Conducted one preliminary and five formal experiments with varying maintenance periods.
Main Results:
- Working memory refinement is not strictly object-based or feature-based.
- Repulsion distortion transmission between features is time-dependent.
- Transmission occurred during extended, but not short, maintenance periods.
Conclusions:
- Working memory refinement occurs dynamically and sequentially across distinct features.
- The refinement process involves a time-consuming transmission of effects between features.
- Findings support a dynamic sequential refinement model of working memory.
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