A design for neural network model of continuous reading
Abstract
Cognition and learning are exceedingly modeled as an associative activity of connectionist neural networks. However, only a few such models exist for continuous reading, which involves the delicate coordination of word recognition and eye movements. Moreover, these models are limited to only orthographic level of word processing with predetermined lexicons. Here, we present a conceptual design of a developmentally plausible neural network model of reading designed to simulate word learning, parafoveal preview activation of words, their later foveal word recognition including phonological decoding, and forward saccade length as a control mechanism for intake of new textual information. We will discuss the theoretical advancements of the design and avenues for future developments.
Main Authors
Format
Articles
Research article
Published
2024
Series
Subjects
Publication in research information system
Publisher
Elsevier
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202409185963Use this for linking
Review status
Peer reviewed
ISSN
1389-0417
DOI
https://doi.org/10.1016/j.cogsys.2024.101284
Language
English
Published in
Cognitive Systems Research
Citation
- Hautala, J., Saarela, M., Loberg, O., & Kärkkäinen, T. (2024). A design for neural network model of continuous reading. Cognitive Systems Research, 88, Article 101284. https://doi.org/10.1016/j.cogsys.2024.101284
Funder(s)
Research Council of Finland
Funding program(s)
Academy Research Fellow, AoF
Akatemiatutkija, SA

Additional information about funding
This research was funded by the Academy of Finland with grants 317030, 319911 and 345639 to Jarkko Hautala.
Copyright© 2024 The Author(s). Published by Elsevier B.V.