On the time course of letter perception: A masked priming ERP investigation

Petit, Jean-Philippe; Midgley, Katherine J.; Holcomb, Phillip J.; Grainger, Jonathan

doi:10.3758/bf03193980

Cited by 100 publications

(127 citation statements)

References 22 publications

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“…The authors concluded that letter strings triggered a qualitatively distinct type of processing compared to other types of character strings (see also Carreiras, Quiñones, Hernández-Cabrera, & Duñabeitia, 2015) and interpreted this pattern of effects as reflecting the initial parallel mapping of visual features onto location-specific letter identities, as proposed by Grainger and Ziegler (2011;see also Grainger & van Heuven, 2003). Besides, in masked priming studies of word processing, it has been shown that the N/P150 component, which occurs in the 125-175 ms time-window, is sensitive to physical differences between primes and targets (Chauncey, Holcomb, & Grainger, 2008;Massol, Grainger, Midgley, & Holcomb, 2012;Petit, Midgley, Holcomb, & Grainger, 2006), but also sensitive to the degree of orthographic overlap between primes and targets (Carreiras, Perea, Vergara, & Pollatsek, 2009;Grainger, Kiyonaga, & Holcomb, 2006). While the scalp distribution of the N/P150 component is very focal -a more negative-going effect in the frontal electrode sites and a more positive-going effect in the occipital sites when the targets are the full repetition of the prime compared with unrelated primes, few studies have reported effects with a broader spatial distribution in the same time-window.…”

Section: Discussionmentioning

confidence: 99%

Consonantal overlap effects in a perceptual matching task

2016

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This study investigates the processing of letter position coding by exploring whether or not two explicitly presented words that share the same consonants, but that differ in their vowels, exert mutual interference more than two words that do not share their consonants. In an explicit perceptual matching task, word targets were preceded by a word reference that could share all the consonants either at the same position or in a different absolute position (while keeping their relative position intact) or preceded by an unrelated reference. Experiment 1 showed larger discrimination costs for pairs sharing the consonants at the same position than for pairs sharing their consonants in a different position. Experiment 2 investigated when and how the types of overlap influence word target processing by using event-related potential recordings. The ERP results showed a Relatedness effect only for targets that share the consonants at the same position from 120 ms to 600 ms post-target onset, whereas targets than share their consonants in different positions in the string produced null effects. Altogether, these data suggest that targets containing the same consonants included in the references in the same positions are processed as being highly similar to them, thus distorting target processing. Furthermore, these data suggest possible mechanisms of competition between lexical representations of the reference and target stimuli.

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Section: Discussionmentioning

confidence: 99%

Consonantal overlap effects in a perceptual matching task

2016

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“…We expect the mapping of visual features onto locationspecific letter representations to be a multistage process that involves letter parts that differ as a function of letter case and font, and possibly also involving case-specific letter representations (Petit et al, 2006). The endpoint of this multistage process would be the activation of font and caseinvariant, location-specific letter representations dedicated to the processing of strings of letters.…”

Section: -450 Msec Posttargetmentioning

confidence: 99%

“…This component took the form of a larger negativity to target words that were unrelated to their preceding prime words (e.g., phone-truck), intermediate for targets that overlapped with primes in all but one letter position (e.g., trock-k k truck), and smallest for complete repetitions (e.g., truck-k k truck). Grainger and Holcomb (in press) have argued that such N250 effects, which were not seen for individual letters (Petit et al, 2006) or objects (Eddy et al, 2006), reflect the process whereby prelexical orthographic representations (letters and letter clusters) are mapped onto whole-word orthographic representations.…”

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confidence: 99%

An ERP investigation of location invariance in masked repetition priming

Dufau

Grainger

Holcomb

2008

Cognitive, Affective, & Behavioral Neuroscience

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222Over the last two decades, masked priming has become a central tool for behavioral research aimed at decomposing the fast, highly automatized processing performed b by skilled readers during visual word comprehension. In recent work, this technique has been combined with the recording of event-related potentials (ERPs) in order to p provide a detailed analysis of the time course of component processes, and to provide some insight into the neural mechanisms involved. This research, combining ERP recordings and masked repetition priming of visual word stimuli, has outlined a cascade of ERP components sensitive to the priming manipulation Kiyonaga, Grainger, Midgley, & Holcomb). As well as the classic N400 component, Holcomb and Grainger described two earlier components that are of particular relevance for the present study. We will first summarize these findings.The first of these, the P150 (here referred to as the N N/P150), started as early as 90 msec and was over by 180 msec. This was a spatially focal component that produced p priming effects that were positive-going at occipital sites (especially over the right hemisphere) and negative-going at more anterior sites (priming here refers to targets that are unrelated to the prior prime, compared to targets that were repetitions of the prime). The distributional and temp poral similarity of this effect across several studies using

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“…In the classic pandemonium model, a hierarchy of demons are activated by specific features in a letter (see also Jacobs & Grainger, 1991;Petit, Midgley, Holcomb, & Grainger, 2006;Selfridge & Neisser, 1960). The model contains feature demons for line segments of various orientations.…”

Section: Implications For Models Of Letter and Word Recognitionmentioning

confidence: 99%