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Forward models demonstrate that repetition suppression is best modelled by local neural scaling
Inferring neural mechanisms from functional magnetic resonance imaging (fMRI) is challenging because the fMRI signal integrates over millions of neurons. One approach is to compare computational models that map neural activity to fMRI responses, to see which best predicts fMRI data. We use this appr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154964/ https://www.ncbi.nlm.nih.gov/pubmed/30242150 http://dx.doi.org/10.1038/s41467-018-05957-0 |