Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition

Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition

Traditional models of reading lack a realistic simulation of the early visual processing stages, taking input in the form of letter banks and predefined line segments, making them unsuitable for modeling early brain responses. We used variations of the VGG-11 convolutional neural network (CNN) to cr...

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Bibliographic Details
Main Authors: Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry Devereux, Riitta Salmelin
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-05-01
Series:eLife
Subjects:
computational modeling
magnetoencephalography
reading
evoked potentials
Online Access:https://elifesciences.org/articles/96217
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https://elifesciences.org/articles/96217

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