Výsledky vyhledávání - "Kathleen Kay Amora"

Akademický článek

Typical and Atypical Development of Visual Expertise for Print as Indexed by the Visual Word N1 (N170w): A Systematic Review

Autor: Kathleen Kay Amora, Ariane Tretow, Cara Verwimp, Jurgen Tijms, Paavo H. T. Leppänen, Valéria Csépe

Publikováno v: Frontiers in Neuroscience, Vol 16 (2022)

The visual word N1 (N170w) is an early brain ERP component that has been found to be a neurophysiological marker for print expertise, which is a prelexical requirement associated with reading development. To date, no other review has assimilated exis

Externí odkaz: https://doaj.org/article/25fec1627a6c4a66935b387c2839e696

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Akademický článek

ERP Correlates of Altered Orthographic-Phonological Processing in Dyslexia

Autor: Vera Varga, Dénes Tóth, Kathleen Kay Amora, Dávid Czikora, Valéria Csépe

Publikováno v: Frontiers in Psychology, Vol 12 (2021)

Automatic visual word recognition requires not only well-established phonological and orthographic representations but also efficient audio-visual integration of these representations. One possibility is that in developmental dyslexia, inefficient or

Externí odkaz: https://doaj.org/article/13e0a7600db3486b92ad1c5d5daa7aa7

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Predicting Reading Speed from Eye-Movement Measures

Autor: Béla Weiss, Ádám Nárai, Kathleen Kay Amora, Zoltán Vidnyánszky

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Pattern Recognition. ICPR International Workshops and Challenges
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687953
ICPR Workshops (3)

Examining eye-movement measures makes understanding the intricacies of reading processes possible. Previous studies have identified some eye-movement measures such as fixation time, number of progressive and regressive saccades as possible major indi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1af56a795377a0fd03a32ff09d35782

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Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach

Autor: János Szalma, Béla Weiss, Kathleen Kay Amora, Zoltán Vidnyánszky

Developmental dyslexia is a reading disability estimated to affect between 5 to 10% of the population. However, current screening methods are limited as they tell very little about the oculomotor processes underlying natural reading. Accordingly, inv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd2e8e874c995ae2667a4faacc17903b

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