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Adaptive neural network classifier for decoding MEG signals
We introduce two Convolutional Neural Network (CNN) classifiers optimized for inferring brain states from magnetoencephalographic (MEG) measurements. Network design follows a generative model of the electromagnetic (EEG and MEG) brain signals allowing explorative analysis of neural sources informing...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Academic Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6609925/ https://ncbi.nlm.nih.gov/pubmed/31059799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2019.04.068 |
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