2014
DOI: 10.1523/jneurosci.2828-13.2014
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Object-Specific Semantic Coding in Human Perirhinal Cortex

Abstract: Category-specificity has been demonstrated in the human posterior ventral temporal cortex for a variety of object categories. Although object representations within the ventral visual pathway must be sufficiently rich and complex to support the recognition of individual objects, little is known about how specific objects are represented. Here, we used representational similarity analysis to determine what different kinds of object information are reflected in fMRI activation patterns and uncover the relationsh… Show more

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Cited by 224 publications
(282 citation statements)
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References 63 publications
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“…While a similar posterior-to-anterior gradient of abstraction -from physical to perceptual to conceptual information coding-has been previously reported in the domain of object recognition (Peelen and Caramazza, 2012;Devereux et al, 2013;Carlson et al, 2014;Clarke and Tyler, 2014), to our knowledge no study has previously investigated at the same time physical, perceptual and conceptual dimensions of word meaning. The presence of a semantic gradient along the occipito-temporal axis was first suggested by clinical data: patients with vascular damage in the territory of the posterior cerebral artery present fine-grained categorical deficits (e.g.…”
Section: Representational Shift Along the Ventral Streamsupporting
confidence: 72%
See 1 more Smart Citation
“…While a similar posterior-to-anterior gradient of abstraction -from physical to perceptual to conceptual information coding-has been previously reported in the domain of object recognition (Peelen and Caramazza, 2012;Devereux et al, 2013;Carlson et al, 2014;Clarke and Tyler, 2014), to our knowledge no study has previously investigated at the same time physical, perceptual and conceptual dimensions of word meaning. The presence of a semantic gradient along the occipito-temporal axis was first suggested by clinical data: patients with vascular damage in the territory of the posterior cerebral artery present fine-grained categorical deficits (e.g.…”
Section: Representational Shift Along the Ventral Streamsupporting
confidence: 72%
“…size) while testing for the correlation between the other dimension (e.g. category) and the neural similarity in a given region (Clarke and Tyler, 2014).…”
Section: Multivariate Pattern Analysesmentioning
confidence: 99%
“…There are increasing meaning levels along the hierarchy. This aligns with the neurophysiological and imaging findings in a progressive-and-bidirectional view of meaning representation (e.g., Clarke & Tyler, 2014;Gainotti, Ciaraffa, Silveri, & Marra, 2009;Poldrack et al, 1999). This view recognizes a feed-forward projection of signals from primary sensory cortexes to higher-level integration regions for information processing, but for conceptual activities (e.g., NsLLT, Level 3) to take place, there must be abundant top-down projections (see Klemen & Chambers, 2012).…”
Section: The Neuro-semantic Language Learning Theorysupporting
confidence: 74%
“…For written words, semantic similarity between concrete animate entities is reflected by the cosine similarity between fMRI response patterns in perirhinal cortex (Bruffaerts et al, 2013b). The semantic similarity effect in perirhinal cortex was subsequently confirmed by Clarke and Tyler (2014) during overt naming of pictures of animate and inanimate items. A third research group independently found crossmodal semantic effects for written words and pictures in left ventral temporal cortex, encompassing left perirhinal cortex among other areas (Fairhall and Caramazza, 2013).…”
Section: Introductionmentioning
confidence: 91%
“…Left perirhinal cortex is one of the regions that has come out of a number of MVPA studies of this kind in a relatively consistent manner (Bruffaerts et al, 2013b;Fairhall and Caramazza, 2013;Clarke and Tyler, 2014;Mur, 2014). For written words, semantic similarity between concrete animate entities is reflected by the cosine similarity between fMRI response patterns in perirhinal cortex (Bruffaerts et al, 2013b).…”
Section: Introductionmentioning
confidence: 99%