Matching complex activation patterns with features of natural stimuli

Reference:

Jarkko Ylipaavalniemi and Ricardo Vigário. Matching complex activation patterns with features of natural stimuli. In 1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain (Neuroinformatics 2008), page 71, Stockholm, Sweden, September 2008. Poster.

Abstract:

We propose a two-step approach for the analysis of functional magnetic resonance images, in the context of natural stimuli. In the first step, elements of functional brain activity emerge, based on spatial independence assumptions. The second step exploits temporal covariation between the elements and given features of the natural stimuli to identify functional networks. The networks can have complex activation patterns related to common task goals.

Keywords:

independent component analysis, functional magnetic resonance imaging

Suggested BibTeX entry:

@inproceedings{JYlipaavalniemi-2008-INCF,
    address = {Stockholm, Sweden},
    author = {Jarkko Ylipaavalniemi and Ricardo Vig\'{a}rio},
    booktitle = {1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain (Neuroinformatics 2008)},
    month = {September},
    note = {Poster},
    pages = {71},
    title = {Matching complex activation patterns with features of natural stimuli},
    year = {2008},
}

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