#3651. Working memory prioritization: Goal-driven attention, physical salience, and implicit learning

October 2026publication date
Proposal available till 02-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Experimental and Cognitive Psychology;
Neuropsychology and Physiological Psychology;
Artificial Intelligence;
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Abstract:
Items in working memory (WM) are prioritized if they are relevant to task goals, are physically salient, or have acquired importance from implicit learning. In a delayed-estimation task with four colors, prioritization was manipulated via a predictive spatial cue (goal-driven attention), a non-predictive peripheral cue (physical salience), or implicit learning of a previously relevant target location. Probabilities of recalling the target (Ptarget) and memory precision were estimated using a Bayesian implementation of the mixture model. Strong evidence was observed that all forms of prioritization increased Ptarget, whereas physical salience and implicit learning had only weak or negligible effects on precision compared to goal-driven attention.
Keywords:
goal-driven attention; working memory; implicit learning; Bayesian implementation

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