The Weigh of Attention:Individual spatial biases and task-dependent deployment in TVA

According to the Theory of Visual Attention (TVA; Bundesen, 1990), objects across the visual field compete in parallel for encoding into a capacity-limited visual short-term memory store. In the classical view, spatial location plays no special role and is treated as just another feature contributing additively to the attentional weight of an object. Nevertheless many TVA studies typically arrange stimuli on an imaginary circle mainly to avoid low-level perceptual confounds such as foveal–peripheral acuity differences.<br/>However, recent work challenges this assumption. Nordfang and colleagues (2018) demonstrated robust, idiosyncratic spatial biases across individuals and showed that target and distractor weights vary across locations in a way incompatible with the classical additive TVA formulation. Instead, their results support a model in which attentional weights factor into separate spatial and nonspatial components that combine multiplicatively, implying that location exerts a structured and theoretically meaningful influence on attentional deployment. Similar spatial biases have been noted in earlier TVA datasets (e.g., Nordfang, Dyrholm, &amp; Bundesen, 2013; Sørensen, 2012).<br/>Here I will revisit some of our previous data (Sørensen, Vangkilde, &amp; Bundesen, 2015) and show clear and systematic spatial asymmetries in encoding performance, even though spatial location was irrelevant to the task, and should not guide top-down prioritization. Moreover, these spatial biases appear to be systematically modulated by participants’ expectations, suggesting that spatial priority maps interact with anticipatory processes in a way not captured by the traditional TVA framework.<br/>

Authors

Publication Details

Journal
VBN Forskningsportal (Aalborg Universitet)
Published
2026-03-15
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

The Weigh of Attention:Individual spatial biases and task-dependent deployment in TVA

Thomas Alrik Sørensen
VBN Forskningsportal (Aalborg Universitet)
Neural and Behavioral Psychology Studies
article

The Weigh of Attention:Individual spatial biases and task-dependent deployment in TVA

Thomas Alrik Sørensen
article en

Abstract

According to the Theory of Visual Attention (TVA; Bundesen, 1990), objects across the visual field compete in parallel for encoding into a capacity-limited visual short-term memory store. In the classical view, spatial location plays no special role and is treated as just another feature contributing additively to the attentional weight of an object. Nevertheless many TVA studies typically arrange stimuli on an imaginary circle mainly to avoid low-level perceptual confounds such as foveal–peripheral acuity differences.<br/>However, recent work challenges this assumption. Nordfang and colleagues (2018) demonstrated robust, idiosyncratic spatial biases across individuals and showed that target and distractor weights vary across locations in a way incompatible with the classical additive TVA formulation. Instead, their results support a model in which attentional weights factor into separate spatial and nonspatial components that combine multiplicatively, implying that location exerts a structured and theoretically meaningful influence on attentional deployment. Similar spatial biases have been noted in earlier TVA datasets (e.g., Nordfang, Dyrholm, &amp; Bundesen, 2013; Sørensen, 2012).<br/>Here I will revisit some of our previous data (Sørensen, Vangkilde, &amp; Bundesen, 2015) and show clear and systematic spatial asymmetries in encoding performance, even though spatial location was irrelevant to the task, and should not guide top-down prioritization. Moreover, these spatial biases appear to be systematically modulated by participants’ expectations, suggesting that spatial priority maps interact with anticipatory processes in a way not captured by the traditional TVA framework.<br/>

VBN Forskningsportal (Aalborg Universitet)
Openalex Percentile: Top 19%
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.