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Publication year
2014Publisher
Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE)
ISBN
9781479941490
In
PRNI 2014: 2014 International Workshop on Pattern Recognition in Neuroimaging, Tübingen, June 4-6 2014 : Proceedings, pp. 1-4Publication type
Part of book or chapter of book

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Organization
SW OZ DCC AI
Donders Centre for Neuroscience
Data Science
Languages used
English (eng)
Book title
PRNI 2014: 2014 International Workshop on Pattern Recognition in Neuroimaging, Tübingen, June 4-6 2014 : Proceedings
Page start
p. 1
Page end
p. 4
Subject
Biophysics; Cognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication; Data ScienceAbstract
New computational models have made it possible to reconstruct perceived images from BOLD responses in visual cortex. We expand a linear Gaussian framework for percept decoding with Gaussian mixture models to better represent the prior distribution of images. In our setup, different mixture components correspond to different letter categories. Our framework not only leads to more accurate reconstructions, but also automatically infers semantic categories from low-level visual areas of the human brain.
This item appears in the following Collection(s)
- Academic publications [227693]
- Electronic publications [107311]
- Faculty of Science [33768]
- Faculty of Social Sciences [28418]
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