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Grainger Industrial multiple read-out model (mrom)
Multiple Read Out Model (Mrom), supplied by Grainger Industrial, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mrom/multiple+read+out+model/pm36629911-293-7-11
Average 90 stars, based on 1 article reviews
multiple read-out model (mrom) - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Lexical processing across the visual field.
Article Snippet: For example, one of the assumptions of the multiple read-out model (Grainger & Jacobs, 1996), which is an extension of the interactive-activation model (McClelland & Rumelhart, 1981) depicted in Figure 2A, is that the total amount of word-node activation can be used strategically in the service of making lexical decisions.

Article Title: How trial-to-trial learning shapes mappings in the mental lexicon: Modelling lexical decision with linear discriminative learning.
Article Snippet: This approach differs from many previous computational models of lexical decision which generally tried to implement a decision directly as part of the model. For example, architectures based on the interactive activation model (Rumelhart & McClelland, 1982) such as Grainger and Jacobs (1996)’s Multiple Read-out Model use the activations of individual word nodes to inform the decision process.

Article Title: How trial-to-trial learning shapes mappings in the mental lexicon: Modelling lexical decision with linear discriminative learning.
Article Snippet: Models based on the original IA model usually took this basic architecture for granted and refined single spects (‘‘nested modelling’’, Jacobs & Grainger, 1994), such as the Spatial Coding Model (Davis, 2010), the Dual Route Cascaded odel (Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001) or the Multiple Read-Out model (Grainger & Jacobs, 1996).

Article Title: Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming.
Article Snippet: To shed light on this theoretical issue, “one of the oldest debates in visual word recognition” (Carreiras et al., 2014, p. 90), the present experiments examined whether the initial stages of the lexical processing of briefly presented distorted words rely on bottom-up activation (i.e., whether letter detectors tolerate some perceptual variability in the input; LCD model: Dehaene et al., 2005) or whether letter encoding can also benefit from top-down lexical feedback (i.e., whether lexical feedback helps to normalize the visual input; interactive word recognition models: McClelland & Rumelhart, 1981, and successors, like the Multiple Read-Out Model (Grainger & Jacobs, 1996), the Dual Route Cascaded Model (Coltheart et al., 2001), or the Spatial Coding Model (Davis, 2010)).

Article Title: Are goats chèvres, chévres, chēvres, and chevres? Unveiling the orthographic code of diacritical vowels.
Article Snippet: letter identities (Cubelli & Beschin, 2005), extending to French the recent findings reported in Spanish (see Perea, Gómez, & Baciero, 2022).. Of note, we conducted an exploratory analysis to study whether the reading cost differed for those words where the diacritic was added to the vowel e—note that é or è are French vowels with unambiguous phonological codes—or to the other vowels.. Experiment 5 (Intact Versus Added [Existing] Diacritic)

Article Title: Letter identity and position coding in the parafovea.
Article Snippet: Demonstrations of TL similarity effects challenged existingmodels of word identification that used “slot-coding” schemes in which letter identities are associated with specific positions within words, for example, models incorporating an interactive-activation framework (McClelland & Rumelhart, 1981) such as the Dual-Route Cascaded model (Coltheart et al., 2001) and the Multiple Read Out Model (Grainger & Jacobs, 1996).

Article Title: Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming
Article Snippet: To shed light on this theoretical issue, “one of the oldest debates in visual word recognition” (Carreiras et al., , p. 90), the present experiments examined whether the initial stages of the lexical processing of briefly presented distorted words rely on bottom-up activation (i.e., whether letter detectors tolerate some perceptual variability in the input; LCD model: Dehaene et al., ) or whether letter encoding can also benefit from top-down lexical feedback (i.e., whether lexical feedback helps to normalize the visual input; interactive word recognition models: McClelland & Rumelhart, , and successors, like the Multiple Read-Out Model (Grainger & Jacobs, ), the Dual Route Cascaded Model (Coltheart et al., ), or the Spatial Coding Model (Davis, )).

Activation Assay:

Article Title: Parafoveal Processing and Transposed-Letter Effects in Developmental Dyslexic Reading.
Article Snippet: .. According to models such as the Interactive Activation model (McClelland and Rumelhart 1981); the Dual Route Cascaded model (Coltheart et al. 2001); the Multiple Read Out model (Grainger and Jacobs 1996); the ActivationVerification model (Paap et al. 1982); and the Parallel Distributed Processing model (Harm and Seidenberg 1999); a transposition (where two letters change positions) should be just as disruptive as a double letter substitution. .. Models such as the SOLAR model (Davis 1999, 2010); the Open Bigram model (Grainger and Van Heuven 2003; Grainger, Kiyonaga, and Holcomb 2006); the Overlap model (Gómez, Ratcliff, and Perea 2008); and the SERIOL model (Whitney 2001), incorporate flexible mechanisms to encode letter position information and can account for the independent encoding of letter identity and position information.



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