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Generic decoding of seen and imagined objects using hierarchical visual features
Object recognition is a key function in both human and machine vision. While brain decoding of seen and imagined objects has been achieved, the prediction is limited to training examples. We present a decoding approach for arbitrary objects using the machine vision principle that an object category...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458127/ https://www.ncbi.nlm.nih.gov/pubmed/28530228 http://dx.doi.org/10.1038/ncomms15037 |