Semantic variability predicts neural variability of object concepts.
about
Compositionality and the angular gyrus: A multi-voxel similarity analysis of the semantic composition of nouns and verbs.Finding features, figuratively.Tracking competition and cognitive control during language comprehension with multi-voxel pattern analysis.Putting concepts into context.A Diffusive-Particle Theory of Free Recall."Neural overlap of L1 and L2 semantic representations across visual and auditory modalities: a decoding approach".
P2860
Semantic variability predicts neural variability of object concepts.
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Semantic variability predicts neural variability of object concepts
@nl
Semantic variability predicts neural variability of object concepts.
@ast
Semantic variability predicts neural variability of object concepts.
@en
type
label
Semantic variability predicts neural variability of object concepts
@nl
Semantic variability predicts neural variability of object concepts.
@ast
Semantic variability predicts neural variability of object concepts.
@en
prefLabel
Semantic variability predicts neural variability of object concepts
@nl
Semantic variability predicts neural variability of object concepts.
@ast
Semantic variability predicts neural variability of object concepts.
@en
P2860
P1433
P1476
Semantic variability predicts neural variability of object concepts.
@en
P2093
Elizabeth Musz
Sharon L Thompson-Schill
P2860
P356
10.1016/J.NEUROPSYCHOLOGIA.2014.11.029
P407
P577
2014-11-25T00:00:00Z