Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming.

Autor: Fernández-López M; Department of Basic Psychology, Universitat de València, Av. Blasco Ibáñez, 21, 46010, València, Spain. maria.Fernandez@uv.es., Solaja O; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy., Crepaldi D; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy., Perea M; Department of Methodology and ERI-Lectura, Universitat de València, València, Spain.; CINC, Universidad Nebrija, Madrid, Spain.
Jazyk: angličtina
Zdroj: Psychonomic bulletin & review [Psychon Bull Rev] 2024 Oct 18. Date of Electronic Publication: 2024 Oct 18.
DOI: 10.3758/s13423-024-02585-2
Abstrakt: The identification of visually presented words tolerates distortions in the input format, as Hannagan et al. Plos One, 7, e32121, (2012) demonstrated in a masked priming lexical decision task, showing sizable identity-priming effects with CAPTCHA-like primes. This tolerance to distortion has two potential explanations: bottom-up normalization in the encoding stage (Dehaene et al., Trends in Cognitive Sciences, 9, 335-341, 2005) or top-down lexical feedback (McClelland & Rumelhart, Psychological Review, 88, 375-407, 1981). To disentangle the predictions of these accounts, we conducted two masked identity-priming experiments with printed and CAPTCHA-like distorted primes on high- and low-frequency words. The rationale was that, in the distorted format, high-frequency words would benefit more from top-down feedback than low-frequency words. Results in the lexical decision experiment showed that, for high-frequency words, identity-priming effects were only slightly greater for printed than for CAPTCHA-like primes, whereas this difference was larger for low-frequency words. In contrast, when employing the same-different matching task, which does not require lexical access, the identity-priming effect was greater for printed primes and was unaffected by word frequency. Thus, during lexical access, top-down feedback may help normalize the visual input in the early stages of word recognition, challenging bottom-up models of visual word recognition.
(© 2024. The Author(s).)
Databáze: MEDLINE
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