Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition
Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry J. Devereux, Riitta H. Salmelin
The paper uses a convolutional neural network to model MEG responses during visual word recognition, showing it can predict key evoked response components and simulate reading processes.
eLife · May 13, 2025Peer-reviewedNeuroscience