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Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images

Encoding and decoding in functional magnetic resonance imaging has recently emerged as an area of research to noninvasively characterize the relationship between stimulus features and human brain activity. To overcome the challenge of formalizing what stimulus features should modulate single voxel r...

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Detalles Bibliográficos
Autores principales: Güçlü, Umut, van Gerven, Marcel A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125038/
https://www.ncbi.nlm.nih.gov/pubmed/25101625
http://dx.doi.org/10.1371/journal.pcbi.1003724