Literature DB >> 24695697

Object-specific semantic coding in human perirhinal cortex.

Alex Clarke1, Lorraine K Tyler.   

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 relationship between categorical and object-specific semantic representations. Our results show a gradient of informational specificity along the ventral stream from representations of image-based visual properties in early visual cortex, to categorical representations in the posterior ventral stream. A key finding showed that object-specific semantic information is uniquely represented in the perirhinal cortex, which was also increasingly engaged for objects that are more semantically confusable. These findings suggest a key role for the perirhinal cortex in representing and processing object-specific semantic information that is more critical for highly confusable objects. Our findings extend current distributed models by showing coarse dissociations between objects in posterior ventral cortex, and fine-grained distinctions between objects supported by the anterior medial temporal lobes, including the perirhinal cortex, which serve to integrate complex object information.

Entities:  

Keywords:  RSA; object recognition; perirhinal cortex; searchlight; semantic knowledge

Mesh:

Substances:

Year:  2014        PMID: 24695697      PMCID: PMC6802719          DOI: 10.1523/JNEUROSCI.2828-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  57 in total

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5.  Distributed and overlapping representations of faces and objects in ventral temporal cortex.

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Journal:  Cereb Cortex       Date:  2009-04-22       Impact factor: 5.357

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  75 in total

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Review 3.  Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway.

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Journal:  J Vis       Date:  2015       Impact factor: 2.240

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8.  The Neural Representations of Movement across Semantic Categories.

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10.  Similarity judgments and cortical visual responses reflect different properties of object and scene categories in naturalistic images.

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