Interference across time: dissociating short from long temporal interference.

interference mixture-model analysis similarity temporal crowding visual masking

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2024
Historique:
received: 28 02 2024
accepted: 04 06 2024
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 8 8 2024
Statut: epublish

Résumé

Our ability to identify an object is often impaired by the presence of preceding and/or succeeding task-irrelevant items. Understanding this temporal interference is critical for any theoretical account of interference across time and for minimizing its detrimental effects. Therefore, we used the same sequences of 3 orientation items, orientation estimation task, and computational models, to examine temporal interference over both short (<150 ms; visual masking) and long (175-475 ms; temporal crowding) intervals. We further examined how inter-item similarity modifies these different instances of temporal interference. Qualitatively different results emerged for interference of different scales. Interference over long intervals mainly degraded the precision of the target encoding while interference over short intervals mainly affected the signal-to-noise ratio. Although both interference instances modulated substitution errors (reporting a wrong item) and were alleviated with dissimilar items, their characteristics were markedly disparate. These findings suggest that different mechanisms mediate temporal interference of different scales.

Identifiants

pubmed: 39114585
doi: 10.3389/fpsyg.2024.1393065
pmc: PMC11305178
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1393065

Informations de copyright

Copyright © 2024 Hochmitz, Abu-Akel and Yeshurun.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ilanit Hochmitz (I)

The Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.

Ahmad Abu-Akel (A)

School of Psychological Sciences, University of Haifa, Haifa, Israel.
The Haifa Brain and Behavior Hub (HBB), University of Haifa, Haifa, Israel.

Yaffa Yeshurun (Y)

The Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel.
School of Psychological Sciences, University of Haifa, Haifa, Israel.

Classifications MeSH