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Acknowledgments Fordham University Faculty Research Grants; Carnegie Mellon University Shared data from labs of Michael Tarr (Leeds et al. 2013) and Tom Mitchell (Sudre et al., 2012) Semantic encoding in perception of visual objects • The hierarchy of semantic information encoded in the brain is unclear • Huth (2012) proposed a subset of categories to predict voxel-level firing for semantic properties; Sudre (2012) proposed a larger set of semantic properties to predict MEG activity in broader cortical regions • We study semantic properties of Sudre (2012), using representational dissimilarity analysis (Kriegeskorte 2008) and more fine-grained BOLD MVPA • We identify more spatially-localized ROIs in mid-level vision with a subset of studied semantic representations, partially consistent with Sudre (2012) fMRI study • Participants shown photos of 60 real-world objects, 6 x each, passive viewing

Semantic object grouping in the visual cortex seen through MVPA