Generic decoding of seen and imagined objects using hierarchical visual features

Machine learning algorithms can decode objects that people see or imagine from their brain activity. Here the authors present a predictive decoder combined with deep neural network representations that generalizes beyond the training set and correctly identifies novel objects that it has never been...

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Autores principales: Tomoyasu Horikawa, Yukiyasu Kamitani
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/6ccae50a9ded47ada2c491896e3c5bb9
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