ArticleMemory & cognition2023
The mechanisms supporting holistic perception of words and faces are not independent.
Article in Memory & cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Category specificity in holistic processing: Reciprocal face-word interference does not extend to body stimuli.Attention, perception & psychophysics · 2026Article
- The impact of stimulus format and presentation order on social working memory updating.Social cognitive and affective neuroscience · 2024Article
- Domain Specificity vs. Domain Generality: The Case of Faces and Words.Vision (Basel, Switzerland) · 2023Review
- Intracerebral Electrophysiological Recordings to Understand the Neural Basis of Human Face Recognition.Brain sciences · 2023Review
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Authors and funding
4 authors.
Funding
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Abstract
The question of whether word and face recognition rely on overlapping or dissociable neural and cognitive mechanisms received considerable attention in the literature. In the present work, we presented words (aligned or misaligned) superimposed on faces (aligned or misaligned) and tested the interference from the unattended stimulus category on holistic processing of the attended category. In Experiment 1, we found that holistic face processing is reduced when a face was overlaid with an unattended, aligned word (processed holistically). In Experiment 2, we found a similar reduction of holistic processing for words when a word was superimposed on an unattended, aligned face (processed holistically). This reciprocal interference effect indicates a trade-off in holistic processing of the two stimuli, consistent with the idea that word and face recognition may rely on non-independent, overlapping mechanisms.
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36376620What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.