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I am currently a research scientist at the Mind Research Network and a research
assistant professor at the UNM. My research interests lie in applying
existing and developing novel techniques and approaches to analyzing
multimodal brain imaging datasets. The main tool source and the
development ground is the field of machine learning. The main goal is
to be able to infer structures and patterns in brain function that are
hard to obtain non-invasively and/or are unavailable for direct
observation. In the long term this amounts to developing methods able
to teach us about mechanisms used by the brain for forming task
specific transient interaction networks. Current work is focused on
inferring probabilistic descriptions of these function induced
networks based on fusion of fast and slow imaging modalities: MEG and
fMRI. |
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