University of Colorado, Boulder
From fMRI to Behavior and Back: The Decoding of fMRI Datasets
Wednesday 17th of December 2008 at 12:00pm
Functional Magnetic Resonance Imaging can be used to infer subjective
experience and brain states of subjects immersed in "natural
environments". These environments are rich with uncontrolled stimuli
and resemble real life experiences.
We describe a new method that yields a low dimensional embedding of
the fMRI data. The embedding provides a representation of the
cognitive activity. We learn a set of time series that are implicit
functions of the cognitive activity, and we predict the values of
these times series in the future from the knowledge of the fMRI data
In addition, our exploratory approach is able to detect independently
visual areas (V1/V2, V5/MT), auditory areas, and language areas. Our
method can be used to analyze fMRI collected during "natural
We present experiments conducted with the datasets of the
2007 Pittsburgh Brain Activity Interpretation Competition.
Reports on this project can be found at:
508-20 Evans Hall
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