Rule-based and exemplar-based classification in artificial grammar learning.
about
Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us?Sleep promotes the extraction of grammatical rules.Stimulus set size and statistical coverage of the grammar in artificial grammar learning.Applying an exemplar model to the artificial-grammar task: inferring grammaticality from similarity.AGSuite: Software to conduct feature analysis of artificial grammar learning performance.Applying an exemplar model to the serial reaction-time task: anticipating from experience.Instance-based categorization: automatic versus intentional forms of retrieval.Sources of confidence judgments in implicit cognition.Measuring learning using an untrained control group: comment on R. Reber and Perruchet.Implicit learning: Below the subjective threshold
P2860
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P2860
Rule-based and exemplar-based classification in artificial grammar learning.
description
1985 nî lūn-bûn
@nan
1985 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
1985 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
1985年の論文
@ja
1985年論文
@yue
1985年論文
@zh-hant
1985年論文
@zh-hk
1985年論文
@zh-mo
1985年論文
@zh-tw
1985年论文
@wuu
name
Rule-based and exemplar-based classification in artificial grammar learning.
@ast
Rule-based and exemplar-based classification in artificial grammar learning.
@en
type
label
Rule-based and exemplar-based classification in artificial grammar learning.
@ast
Rule-based and exemplar-based classification in artificial grammar learning.
@en
prefLabel
Rule-based and exemplar-based classification in artificial grammar learning.
@ast
Rule-based and exemplar-based classification in artificial grammar learning.
@en
P2860
P356
P1433
P1476
Rule-based and exemplar-based classification in artificial grammar learning.
@en
P2093
M Moscovitch
M P McAndrews
P2860
P2888
P304
P356
10.3758/BF03198460
P577
1985-09-01T00:00:00Z
P5875
P6179
1040146603