Results 11 to 20 of about 288,229 (327)

An Abundance of Riches: Cross-Task Comparisons of Semantic Richness Effects In Visual Word Recognition [PDF]

open access: goldFrontiers in Human Neuroscience, 2012
There is considerable evidence (e.g., Pexman, Hargreaves, Siakaluk, Bodner, & Pope, 2008) that semantically rich words, which are associated with relatively more semantic information, are recognized faster across different lexical processing tasks ...
Melvin J. Yap   +4 more
doaj   +2 more sources

Models of visual word recognition.

open access: yesTrends Cogn Sci, 2013
Reading is a complex process that draws on a remarkable number of diverse perceptual and cognitive processes. In this review, I provide an overview of computational models of reading, focussing on models of visual word recognition-how we recognise individual words.
Norris D.
europepmc   +4 more sources

Evidence for Separate Contributions of High and Low Spatial Frequencies during Visual Word Recognition [PDF]

open access: yesFrontiers in Human Neuroscience, 2017
Previous studies have shown that different spatial frequency information processing streams interact during the recognition of visual stimuli. However, it is a matter of debate as to the contributions of high and low spatial frequency (HSF and LSF ...
Kurt Winsler   +3 more
doaj   +2 more sources

Electrophysiological Evidence Reveals the Asymmetric Transfer from the Right to Left Hemisphere as Key to Reading Proficiency

open access: yesBrain Sciences, 2023
The present investigation aimed to explore the interhemispheric interactions that contribute to changes in reading proficiency by examining the processing of visual word recognition in relation to word familiarity.
Sangyub Kim, Joonwoo Kim, Kichun Nam
doaj   +1 more source

RETRACTED: Neural Correlates of Handwriting Effects in L2 Learners

open access: yesFrontiers in Psychology, 2022
Learning to write involves integrating motor production and visual perception to develop orthographic representations. This study tries to test the effect of hand movement training as a pathway to neural correlates for L2 Chinese and L2 English readers ...
Yifei Li   +2 more
doaj   +1 more source

Curved vs. Straight-Line Handwriting Effects on Word Recognition in Typical and Dyslexic Readers Across Chinese and English

open access: yesFrontiers in Psychology, 2021
Handwriting serves to link auditory and motor routines with visual word processing, which is a hallmark of successful reading. The current study aims to explore the effect of multisensory integration as a pathway to neural specialization for print among ...
Connie Qun Guan   +3 more
doaj   +1 more source

Letter legibility and visual word recognition [PDF]

open access: yesMemory & Cognition, 1998
Word recognition performance varies systematically as a function of where the eyes fixate in the word. Performance is maximal with the eye slightly left of the center of the word and decreases drastically to both sides of this optimal viewing position.
Nazir, T A, Jacobs, a M, O'Regan, J K
openaire   +4 more sources

Decoding foveal word recognition: the role of interhemispheric inhibition in bilateral hemispheric processing

open access: yesFrontiers in Psychology, 2023
Extant research has largely favored the Split Fovea Theory (SFT) over the Bilateral Projection Theory (BPT) in the context of foveal word recognition. SFT posits that during foveal fixation, letters in the left and right visual fields are projected to ...
Sangyub Kim, Kichun Nam
doaj   +1 more source

Different hemispheric specialization for face/word recognition: A high‐density ERP study with hemifield visual stimulation

open access: yesBrain and Behavior, 2020
Introduction The right fusiform face area (FFA) is important for face recognition, whereas the left visual word fusiform area (VWFA) is critical for word processing.
Naomi Takamiya   +6 more
doaj   +1 more source

Item performance in visual word recognition [PDF]

open access: yesPsychonomic Bulletin & Review, 2009
Standard factorial designs in psycholinguistics have been complemented recently by large-scale databases providing empirical constraints at the level of item performance. At the same time, the development of precise computational architectures has led modelers to compare item-level performance with item-level predictions. It has been suggested, however,
Rey, Arnaud   +3 more
openaire   +4 more sources

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