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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| 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
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/96217 |
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