Results 21 to 30 of about 288,229 (327)
Phonological awareness of bilinguals in visual word recognition
Strani Jezici, 2023 The present study, in which the phonological awareness of bilinguals and the temporal characteristics of written word recognition are studied with mixed language lexical decision tests, is a part of a larger-scale research.
Petra Ihász +4 more
doaj +1 more source
Reconsidering the role of orthographic redundancy in visual word recognition. [PDF]
Front Psychol, 2015 Chetail F.
europepmc +3 more sources
Early processing of orthographic language membership information in bilingual visual word recognition: Evidence from ERPs. [PDF]
Neuropsychologia, 2017 Hoversten LJ +3 more
europepmc +3 more sources
Scientific Reports, 2021 EEG has been central to investigations of the time course of various neural functions underpinning visual word recognition. Recently the steady-state visual evoked potential (SSVEP) paradigm has been increasingly adopted for word recognition studies due ...
Fang Wang +8 more
doaj +1 more source
Perceptual grouping in visual word recognition [PDF]
Memory & Cognition, 1993 Four experiments are presented in which printed texts are read for their meaning. Some of the texts were mutilated by altering the size of selected letters. In Experiments 1, 2, and 3, the number of words mutilated per passage and the number of letters changed per word were both manipulated. In all three experiments, reading was slowed as a function of
Andrew Monk, Charles Hulme, J. M. Bock
openaire +2 more sources
Visual attention span as a predictor of reading fluency and reading comprehension in Arabic
Frontiers in Psychology, 2022 IntroductionVisual attention span is a measure of multielement parallel processing. Individuals with higher visual attention span are expected to allocate more attention to letters within strings, which boosts letter identification and translates into ...
Faris H. R. Awadh +4 more
doaj +1 more source
Learnable Visual Words for Interpretable Image Recognition [PDF]
arXiv, 2022 To interpret deep models' predictions, attention-based visual cues are widely used in addressing \textit{why} deep models make such predictions. Beyond that, the current research community becomes more interested in reasoning \textit{how} deep models make predictions, where some prototype-based methods employ interpretable representations with their ...
arxiv
Impact of Learning to Read in a Mixed Approach on Neural Tuning to Words in Beginning Readers
Frontiers in Psychology, 2020 The impact of learning to read in a mixed approach using both the global and phonics teaching methods on the emergence of left hemisphere neural specialization for word recognition is yet unknown in children.
Alice van de Walle de Ghelcke +5 more
doaj +1 more source
The lazy visual word form area: computational insights into location-sensitivity. [PDF]
PLoS Computational Biology, 2013 In a recent study, Rauschecker et al. convincingly demonstrate that visual words evoke neural activation signals in the Visual Word Form Area that can be classified based on where they were presented in the visual fields.
Thomas Hannagan, Jonathan Grainger
doaj +1 more source
A multistream model of visual word recognition [PDF]
Attention, Perception & Psychophysics, 2009 Four experiments are reported that test a multistream model of visual word recognition, which associates letter-level and word-level processing channels with three known visual processing streams isolated in macaque monkeys: the magno-dominated (MD) stream, the interblob-dominated (ID) stream, and the blob-dominated (BD) stream (Van Essen & Anderson ...
Angie Canfield +4 more
openaire +3 more sources