Previous studies have reported retrospective influences of visual events that occur after target events. In the attentional attraction effect, a position cue presented after a target stimulus distorts the target's position towards that of the cue. The present study explored the temporal relationship between stimulus presentation and reaction time (RT) in this effect in two experiments. Participants performed a speeded localization task on two vertical lines, the positions of which were to be distorted by an additional attentional cue. No significant difference in RTs was found between the conditions with simultaneous and delayed cues. RTRT was modulated by the perceived (rather than physical) alignment of the lines. In Experiment 2, we manipulated the strength of attentional capture by modulating the color relevance of the cue to the target. Trials with cues producing stronger attentional capture (with cues of a different color from the targets) were found to induce apparently stronger distortion effects. This result favors the notion that the observed repulsion and attraction effects are driven by attentional mechanisms. Overall, the results imply that the attentional shift induced by the cue might occur rapidly and complete before the establishment of conscious location representation of the cue and the target without affecting overall response time.
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http://dx.doi.org/10.2478/v10053-008-0128-7 | DOI Listing |
PLoS One
January 2025
Graduate School of Humanities and Social Sciences, Kyoto University of Advanced Science, Kyoto, Japan.
The joint Simon effect refers to inhibitory responses to spatially competing stimuli during a complementary task. This effect has been considered to be influenced by the social factors of a partner: sharing stimulus-action representation. According to this account, virtual interactions through their avatars would produce the joint Simon effect even when the partner did not physically exist in the same space because the avatars are intentional agents.
View Article and Find Full Text PDFBrain Sci
December 2024
SensoriMotorLab, Department of Ophthalmology-University of Lausanne, Jules Gonin Eye Hospital-Fondation Asile des Aveugles, 1004 Lausanne, Switzerland.
Many daily activities depend on visual inputs to improve motor accuracy and minimize errors. Reaching tasks present an ecological framework for examining these visuomotor interactions, but our comprehension of how different amounts of visual input affect motor outputs is still limited. The present study fills this gap, exploring how hand-related visual bias affects motor performance in a reaching task (to draw a line between two dots).
View Article and Find Full Text PDFPsychol Res
January 2025
Institute of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.
The present study investigated the role of inhibition in peripheral cueing by nonpredictive cues. Based on past findings, we investigated the possibility that inhibition of learned irrelevant cue colors is typical of short cue-target intervals, with more competition for attention capture between cue versus target. In line with the expectation, in a modified contingent-capture protocol, with short cue-target intervals, we found same-location costs (SLCs) - that is, disadvantages for validly cued targets (cue = target position) compared to invalidly cued targets (cue ≠ target position) with consistently colored non-matching cues.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Research Centre of Mathematics, University of Minho, Guimarães, Portugal.
Continuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent connections within the network require a biologically unrealistic level of fine tuning. We address both challenges in a two-dimensional (2D) network model formalized by two coupled neural field equations of Amari type.
View Article and Find Full Text PDFJ Exp Psychol Gen
December 2024
Centre National de la Recherche Scientifique, Institut des Sciences Cognitives Marc Jeannerod-UMR5229, Universite Claude Bernard Lyon1.
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