Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments
about
Inborn and experience-dependent models of categorical brain organization. A position paperSemantic variability predicts neural variability of object concepts.Language networks associated with computerized semantic indicesLimiting factors for mapping corpus-based semantic representations to brain activityA brain-based account of "basic-level" concepts.Feature Selection Methods for Zero-Shot Learning of Neural Activity.Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation.Toward a universal decoder of linguistic meaning from brain activation.
P2860
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P2860
Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@ast
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@en
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@nl
type
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Using Wikipedia to learn seman ...... ts in neuroimaging experiments
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Using Wikipedia to learn seman ...... ts in neuroimaging experiments
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Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@nl
prefLabel
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@ast
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@en
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@nl
P2860
P50
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P1476
Using Wikipedia to learn seman ...... ts in neuroimaging experiments
@en
P2860
P304
P356
10.1016/J.ARTINT.2012.06.005
P4011
65cec8959907779d1f6af9ef2407d0184eb64c36
P407
P577
2013-01-01T00:00:00Z