Does valence influence perceptual bias towards incongruence during binocular rivalry?


Journal

Cognitive processing
ISSN: 1612-4790
Titre abrégé: Cogn Process
Pays: Germany
ID NLM: 101177984

Informations de publication

Date de publication:
May 2020
Historique:
received: 07 05 2019
accepted: 05 02 2020
pubmed: 23 2 2020
medline: 29 9 2020
entrez: 23 2 2020
Statut: ppublish

Résumé

The efficient processing of complex visual environments is essential for effective functioning. In the natural environment, processing the context is as important as the processing of the target object since no object can be found in isolation. Congruent object-context associations in a visual scene facilitate object recognition, whereas incongruent associations decrease performance accuracy. Although there is a performance reduction, incongruent scenes are reported to have a perceptual bias due to the reallocation of the attentional resources towards the associated semantic conflict. Another key attribute that prepares the visual system to identify the important aspects of the environment is valence, and any visual scene can be classified into one of the three valence categories. Hence, the current study was designed to investigate how valence influences the perceptual bias towards incongruent object-context associations. An intermittent binocular rivalry task was used to measure the perceptual bias across valence categories. The results revealed a significant predominance of incongruent pictures when the associated valence was negative and neutral and remained unbiased for positive valence. We propose a valence-congruency interaction in which perceptual bias towards incongruence is greatly influenced by valence.

Identifiants

pubmed: 32086660
doi: 10.1007/s10339-020-00957-9
pii: 10.1007/s10339-020-00957-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

239-251

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Auteurs

Angel Anna Zacharia (AA)

Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India.

Navdeep Ahuja (N)

Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India.

Simran Kaur (S)

Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India.

Nalin Mehta (N)

Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India.

Ratna Sharma (R)

Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, 110029, India. ratnaaiims@gmail.com.

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