Accurately decoding visual information from fMRI data obtained in a realistic virtual environment

Accurately decoding visual information from fMRI data obtained in a realistic virtual environment

Three-dimensional interactive virtual environments are a powerful tool for brain-imaging based cognitive neuroscience that are presently under-utilized. This paper presents machine-learning based methods for identifying brain states induced by realistic virtual environments with improved accuracy as...

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Bibliographic Details
Main Authors: Andrew eFloren, Bruce eNaylor, Risto eMikkulainen, David eRess
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-06-01
Series:Frontiers in Human Neuroscience
Subjects:
machine learning
fMRI BOLD
human vision
natural stimuli
virtual environments
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00327/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00327/full

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