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
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6ccae50a9ded47ada2c491896e3c5bb9
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id	oai:doaj.org-article:6ccae50a9ded47ada2c491896e3c5bb9
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spelling	oai:doaj.org-article:6ccae50a9ded47ada2c491896e3c5bb92021-12-02T17:06:19ZGeneric decoding of seen and imagined objects using hierarchical visual features10.1038/ncomms150372041-1723https://doaj.org/article/6ccae50a9ded47ada2c491896e3c5bb92017-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms15037https://doaj.org/toc/2041-1723Machine 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 trained on.Tomoyasu HorikawaYukiyasu KamitaniNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tomoyasu Horikawa Yukiyasu Kamitani Generic decoding of seen and imagined objects using hierarchical visual features
description	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 trained on.
format	article
author	Tomoyasu Horikawa Yukiyasu Kamitani
author_facet	Tomoyasu Horikawa Yukiyasu Kamitani
author_sort	Tomoyasu Horikawa
title	Generic decoding of seen and imagined objects using hierarchical visual features
title_short	Generic decoding of seen and imagined objects using hierarchical visual features
title_full	Generic decoding of seen and imagined objects using hierarchical visual features
title_fullStr	Generic decoding of seen and imagined objects using hierarchical visual features
title_full_unstemmed	Generic decoding of seen and imagined objects using hierarchical visual features
title_sort	generic decoding of seen and imagined objects using hierarchical visual features
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/6ccae50a9ded47ada2c491896e3c5bb9
work_keys_str_mv	AT tomoyasuhorikawa genericdecodingofseenandimaginedobjectsusinghierarchicalvisualfeatures AT yukiyasukamitani genericdecodingofseenandimaginedobjectsusinghierarchicalvisualfeatures
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Generic decoding of seen and imagined objects using hierarchical visual features

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