Conceptual structure: Towards an integrated neuro-cognitive account
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Understanding What We See: How We Derive Meaning From VisionInborn and experience-dependent models of categorical brain organization. A position paperFeature Statistics Modulate the Activation of Meaning During Spoken Word Processing.Predicting the Time Course of Individual Objects with MEGThe perirhinal cortex and conceptual processing: Effects of feature-based statistics following damage to the anterior temporal lobes.Medial perirhinal cortex disambiguates confusable objects.From perception to conception: how meaningful objects are processed over time.Objects and categories: feature statistics and object processing in the ventral streamDynamic information processing states revealed through neurocognitive models of object semantics.Revisiting domain-general accounts of category specificity in mind and brain.A quantitative empirical analysis of the abstract/concrete distinction.False positives to confusable objects predict medial temporal lobe atrophy.Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway.
P2860
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P2860
Conceptual structure: Towards an integrated neuro-cognitive account
description
2011 nî lūn-bûn
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2011年の論文
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2011年論文
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2011年論文
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2011年論文
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2011年論文
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2011年論文
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2011年论文
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2011年论文
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2011年论文
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name
Conceptual structure: Towards an integrated neuro-cognitive account
@en
type
label
Conceptual structure: Towards an integrated neuro-cognitive account
@en
prefLabel
Conceptual structure: Towards an integrated neuro-cognitive account
@en
P2093
P2860
P1476
Conceptual structure: Towards an integrated neuro-cognitive account
@en
P2093
B J Devereux
K I Taylor
P2860
P304
P356
10.1080/01690965.2011.568227
P577
2011-07-01T00:00:00Z