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A Bayesian Probit Model with Spatially Varying Coefficients for Brain Decoding using fMRI Data
Recent advances in human neuroimaging have shown that it is possible to accurately decode how the brain perceives information based only on non-invasive functional magnetic resonance imaging (fMRI) measurements of brain activity. Two commonly used statistical approaches, namely, univariate analysis...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5048521/ https://ncbi.nlm.nih.gov/pubmed/27222305 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6999 |
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