about
Optimal learning paths in information networksGlobal and local features of semantic networks: evidence from the Hebrew mental lexiconInsights into failed lexical retrieval from network scienceComplex network structure influences processing in long-term and short-term memory.FN400 potentials are functionally identical to N400 potentials and reflect semantic processing during recognition testingSimulating retrieval from a highly clustered network: implications for spoken word recognition.The influence of the phonological neighborhood clustering coefficient on spoken word recognition.Community structure in the phonological networkInvestigating the structure of semantic networks in low and high creative persons.Modeling abnormal priming in Alzheimer's patients with a free association network.The Associative Structure of Language: Contextual Diversity in Early Word LearningLongitudinal analysis of early semantic networks: preferential attachment or preferential acquisition?Abstract and concrete sentences, embodiment, and languagesHidden processes in structural representations: A reply to Abbott, Austerweil, and Griffiths (2015)Striatal contributions to declarative memory retrieval.Emotions in "the world": cultural practices, products, and meanings of anger and shame in two individualist cultures.The Semantic Drift of Quotations in Blogspace: A Case Study in Short-Term Cultural Evolution.The dynamics of memory retrieval in hierarchical networks.Using the speeded word fragment completion task to examine semantic priming.Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations.The road not taken: creative solutions require avoidance of high-frequency responses.Multiplex lexical networks reveal patterns in early word acquisition in children.Parameterizing developmental changes in epistemic trust.Keywords in the mental lexicon.Terrorists brought down the plane!--No, actually it was a technical fault: processing corrections of emotive information.From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity.Predicting the Past, Remembering the Future.The Cognitive Social Network in Dreams: Transitivity, Assortativity, and Giant Component Proportion Are Monotonic.Sleep on it, but only if it is difficult: effects of sleep on problem solving.Interrupted: The roles of distributed effort and incubation in preventing fixation and generating problem solutions.Exploration in free word association networks: models and experiment.Tradition and Innovation in Scientists’ Research StrategiesFunctional shortcuts in language co-occurrence networks
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Google and the mind: predicting fluency with PageRank.
@ast
Google and the mind: predicting fluency with PageRank.
@en
Google and the mind: predicting fluency with PageRank.
@nl
type
label
Google and the mind: predicting fluency with PageRank.
@ast
Google and the mind: predicting fluency with PageRank.
@en
Google and the mind: predicting fluency with PageRank.
@nl
prefLabel
Google and the mind: predicting fluency with PageRank.
@ast
Google and the mind: predicting fluency with PageRank.
@en
Google and the mind: predicting fluency with PageRank.
@nl
P2860
P1476
Google and the mind: predicting fluency with PageRank.
@en
P2093
Alana Firl
Mark Steyvers
P2860
P304
P356
10.1111/J.1467-9280.2007.02027.X
P577
2007-12-01T00:00:00Z