Supplemental Material for Adaptive Computation as a New Mechanism of Dynamic Human Attention

We provide supplementary materials accompanying our paper, which include seven additional figures.Figure S1 demonstrates a drop in task-relevance in the scenario where a target is statistically indistinguishable from a distractor.Figure S2 provides additional analysis that supports modeling decisions, and Figure S3 visualizes model covariates.Figure S4 reports the results of using inferences from the adaptive computation instead of the fixed-resource architecture to compute heuristic covariates in the probes experiment.Figures S5 andS6 visualize the results of grid search over the load and importance hyperparameters, respectively.

Publication Details

Journal
Psychological Review
Published
2025-06-16
DOI
https://doi.org/10.1037/rev0000572.supp
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplemental Material for Adaptive Computation as a New Mechanism of Dynamic Human Attention

Psychological Review
Cognitive Science and Mapping
article

Supplemental Material for Adaptive Computation as a New Mechanism of Dynamic Human Attention

article en

Abstract

We provide supplementary materials accompanying our paper, which include seven additional figures.Figure S1 demonstrates a drop in task-relevance in the scenario where a target is statistically indistinguishable from a distractor.Figure S2 provides additional analysis that supports modeling decisions, and Figure S3 visualizes model covariates.Figure S4 reports the results of using inferences from the adaptive computation instead of the fixed-resource architecture to compute heuristic covariates in the probes experiment.Figures S5 andS6 visualize the results of grid search over the load and importance hyperparameters, respectively.

Psychological Review
Openalex Percentile: Top 93%
Cognitive Science and Mapping
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Supplemental Material for Adaptive Computation as a New Mechanism of Dynamic Human Attention · Psychological Review (2025) | TGRS Research Map | TGRS