Prioritizing feature bindings across space and modality in working memory

A growing body of evidence shows that selective attention can be strategically directed to prioritize items of higher "value" in working memory. This work has typically been limited to tests of feature binding using simple "unitized" colored shapes as memoranda. Recent research has suggested prioritization may not be effectively applied to color-odor bindings. This raises the possibility that the benefits of value-based prioritization in working memory may be limited to bindings between unitized visual features (e.g., object-color bindings, object-location bindings). The current study explored this, examining whether value-directed prioritization can be effectively applied when feature pairings of color and shape are separated out, either into different spatial locations (Experiment 1) or across visual and auditory presentation modalities (Experiment 2). Experiment 1 found an overall cost to working memory performance when features were spatially separated, relative to a unitized condition, while Experiments 2 found no such cost for cross-modal feature separation. Across the experiments, participants were equally able to derive performance benefits from prioritizing high-value items in the sequence, regardless of whether features were encountered as part of the same unitized object or separated in space (Experiment 1) or modality (Experiment 2). The findings have implications for the relationship between working memory and attention, suggesting that value-directed prioritization can be effectively applied across different types of feature binding.

Authors

Institutions

Publication Details

Journal
Memory & Cognition
Published
2025-10-17
DOI
https://doi.org/10.3758/s13421-025-01804-y
Primary Topic
Neural and Behavioral Psychology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prioritizing feature bindings across space and modality in working memory

Hatice Çinar, Amanda H. Waterman, Richard J. Allen, Amy Louise Atkinson
Memory & Cognition
Neural and Behavioral Psychology Studies
article

Prioritizing feature bindings across space and modality in working memory

Hatice Çinar, Amanda H. Waterman, Richard J. Allen, Amy Louise Atkinson
article en

Abstract

A growing body of evidence shows that selective attention can be strategically directed to prioritize items of higher "value" in working memory. This work has typically been limited to tests of feature binding using simple "unitized" colored shapes as memoranda. Recent research has suggested prioritization may not be effectively applied to color-odor bindings. This raises the possibility that the benefits of value-based prioritization in working memory may be limited to bindings between unitized visual features (e.g., object-color bindings, object-location bindings). The current study explored this, examining whether value-directed prioritization can be effectively applied when feature pairings of color and shape are separated out, either into different spatial locations (Experiment 1) or across visual and auditory presentation modalities (Experiment 2). Experiment 1 found an overall cost to working memory performance when features were spatially separated, relative to a unitized condition, while Experiments 2 found no such cost for cross-modal feature separation. Across the experiments, participants were equally able to derive performance benefits from prioritizing high-value items in the sequence, regardless of whether features were encountered as part of the same unitized object or separated in space (Experiment 1) or modality (Experiment 2). The findings have implications for the relationship between working memory and attention, suggesting that value-directed prioritization can be effectively applied across different types of feature binding.

Memory & Cognition
University of Leeds (GB), Kırklareli University (TR), Lancaster University (GB)
Openalex Percentile: Top 71%
Neural and Behavioral Psychology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.