Gaussian mixture models and semantic gating improve reconstructions from human brain activity

Gaussian mixture models and semantic gating improve reconstructions from human brain activity

Better acquisition protocols and analysis techniques are making it possible to use fMRI to obtain highly detailed visualizations of brain processes. In particular we focus on the reconstruction of natural images from BOLD responses in visual cortex. We expand our linear Gaussian framework for percep...

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Bibliographic Details
Main Authors: Sanne eSchoenmakers, Umut eGüçlü, Marcel eVan Gerven, Tom eHeskes
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-01-01
Series:Frontiers in Computational Neuroscience
Subjects:
fMRI
reconstruction
Bayesian network
unsupervised learning
DATA FUSION
Probabilistic inference
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00173/full

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