.png){kind=icon}
.png){kind=icon}
Return
Prioritizing Information during Working Memory: Beyond Sustained Internal Attention
.png){kind=icon}
OA
AI
DOI：10.1016/j.tics.2017.03.010.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Working memory (WM) has limited capacity. This leaves attention with the important role of allowing into storage only the most relevant information. It is increasingly evident that attention is equally crucial for prioritizing representations within WM as the importance of individual items changes. Retrospective prioritization has been proposed to result from a focus of internal attention highlighting one of several representations. Here, we suggest an updated model, in which prioritization acts in multiple steps: first orienting towards and selecting a memory, and then reconfiguring its representational state in the service of upcoming task demands. Reconfiguration sets up an optimized perception-action mapping, obviating the need for sustained attention. This view is consistent with recent literature, makes testable predictions, and links WM with task switching and action preparation.
Keywords:
SHORT-TERM-MEMORY
ORIENTING ATTENTION
PREFRONTAL CORTEX
SELECTIVE ATTENTION
NEURAL EVIDENCE
3-STATE MODEL
RETRO-CUES
REPRESENTATIONS
CAPACITY
MAINTENANCE
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
17.2
Papers:
3.6K
Citations:
3.5W