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The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
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In: Mem Cognit (2021)
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The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
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The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
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The Visual and Semantic Features that Predict Object Memory: Concept Property Norms for 1000 Object Images
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Dynamic activity patterns in the anterior temporal lobe represents object semantics
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In: Cogn Neurosci (2020)
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Perceptual and conceptual processing of visual objects across the adult lifespan
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Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
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Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway
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Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
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Abstract:
Recognising an object involves rapid visual processing and activation of semantic knowledge about the object, but how visual processing activates and interacts with semantic representations remains unclear. Cognitive neuroscience research has shown that while visual processing involves posterior regions along the ventral stream, object meaning involves more anterior regions, especially perirhinal cortex. Here we investigate visuo-semantic processing by combining a deep neural network model of vision with an attractor network model of semantics, such that visual information maps onto object meanings represented as activation patterns across features. In the combined model, concept activation is driven by visual input and co-occurrence of semantic features, consistent with neurocognitive accounts. We tested the model’s ability to explain fMRI data where participants named objects. Visual layers explained activation patterns in early visual cortex, whereas pattern-information in perirhinal cortex was best explained by later stages of the attractor network, when detailed semantic representations are activated. Posterior ventral temporal cortex was best explained by intermediate stages corresponding to initial semantic processing, when visual information has the greatest influence on the emerging semantic representation. These results provide proof of principle of how a mechanistic model of combined visuo-semantic processing can account for pattern-information in the ventral stream.
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Article
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URL: https://doi.org/10.1038/s41598-018-28865-1
http://www.ncbi.nlm.nih.gov/pubmed/30006530
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6045572/
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Decoding the Cortical Dynamics of Sound-Meaning Mapping. ...
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Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity. ...
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Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity.
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From Perception to Conception: How Meaningful Objects Are Processed over Time
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Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity
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The perirhinal cortex and conceptual processing: Effects of feature-based statistics following damage to the anterior temporal lobes
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