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Examining Letter Detector Tolerance through Offset Letter Halves: Evidence from Lexical Decision

Neurobiological models of reading assume that the specialized detectors at the letter level (e.g., the arrays of detectors for the letter ‘n’) possess a certain degree of tolerance (e.g., Local Combination Detectors model, Dehaene et al. 2005). In this study, we designed two lexical decision experim...

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Detalles Bibliográficos
Autores principales: Perea, Manuel, Romero-Ortells, Inka, Labusch, Melanie, Fernández-López, María, Marcet, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540705/
https://www.ncbi.nlm.nih.gov/pubmed/37780981
http://dx.doi.org/10.5334/joc.322
Descripción
Sumario:Neurobiological models of reading assume that the specialized detectors at the letter level (e.g., the arrays of detectors for the letter ‘n’) possess a certain degree of tolerance (e.g., Local Combination Detectors model, Dehaene et al. 2005). In this study, we designed two lexical decision experiments that examined the limits of tolerance of letter detectors by introducing a novel manipulation involving shifting letter halves (e.g., [Image: see text] in Experiment 1; [Image: see text] in Experiment 2) relative to intact items. This manipulation alters the transition between upper and lower parts of the letters, adding junctions that do not exist in the intact letter forms. We included high- and low-frequency words in the stimulus list to investigate whether letter distortion affects processing beyond the letter level, reasoning that interactive effects would signal top-down lexical feedback. In Experiment 1, which employed a subtle letter shift, we observed a minimal cost of letter distortion that did not interact with word frequency. Experiment 2, employing a larger letter shift, revealed an overall greater reading cost that affected differentially high- and low-frequency words. Overall, these findings offer insights into the limits of resilience in letter detectors to distortion during word recognition and introduce a novel manipulation of letter distortion.