Discovering Structure of Object Representation in the Ventral Visual Pathway from fMRI Data

The method does not make any assumptions about the spatial extent of the selective regions to avoid constraints on the space of possible selectivity patterns. Since no spatial information is used by the method, we can seamlessly analyze multi-subject data without spatial normalization of the subject...

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 47; p. S81
Main Authors Lashkari, D, Vul, E, Kanwisher, NG, Golland, P
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.07.2009
Elsevier Limited
Subjects
Functional magnetic resonance imaging
Methods
Visual pathways
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ISSN1053-8119
1095-9572
DOI10.1016/S1053-8119(09)70581-6

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Summary:The method does not make any assumptions about the spatial extent of the selective regions to avoid constraints on the space of possible selectivity patterns. Since no spatial information is used by the method, we can seamlessly analyze multi-subject data without spatial normalization of the subjects. Conclusions We presented an exploratory method that enables automatic discovery of the patterns of category selectivity in the visual cortex.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)70581-6