about
Probabilistic category learning in developmental dyslexia: Evidence from feedback and paired-associate weather prediction tasksDevelopment of different forms of skill learning throughout the lifespan.Trait-based cue Utilization and initial skill acquisition: implications for models of the progression to expertise.Priming intelligent behavior: an elusive phenomenonFear-relevant outcomes modulate the neural correlates of probabilistic classification learning.High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teachingCue Utilization and Cognitive Load in Novel Task Performance.Subliminal instrumental conditioning demonstrated in the human brain.Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems.Fear relevancy, strategy use, and probabilistic learning of cue-outcome associationsPharmacological modulation of subliminal learning in Parkinson's and Tourette's syndromes.Self-insight in probabilistic categorization - not implicit in children either.Factors that influence the relative use of multiple memory systems.The Role of Task Understanding on Younger and Older Adults' Performance.Distinguishing the contributions of implicit and explicit processes to performance of the weather prediction task.Learning predictive statistics from temporal sequences: Dynamics and strategiesThe dimensionality of perceptual category learning: a state-trace analysis.A Haplotype Associated with Enhanced Mineralocorticoid Receptor Expression Facilitates the Stress-Induced Shift from "Cognitive" to "Habit" Learning.The role of cue utilisation in reducing the workload in a train control task.Functional brain networks for learning predictive statistics.Think, blink or sleep on it? The impact of modes of thought on complex decision making.Pseudocontingencies derived from categorically organized memory representations.The effect of newly trained verbal and nonverbal labels for the cues in probabilistic category learning.Self-insight in probabilistic category learning.Pseudocontingencies can override genuine contingencies between multiple cues.The effectiveness of feedback in multiple-cue probability learning.Feedback interference and dissociations of classification: evidence against the multiple-learning-systems hypothesis.Challenging the role of implicit processes in probabilistic category learning.Children's Neglect of Probabilities in Decision Making with and without Feedback.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
Insight and strategy in multiple-cue learning.
@en
Insight and strategy in multiple-cue learning.
@nl
type
label
Insight and strategy in multiple-cue learning.
@en
Insight and strategy in multiple-cue learning.
@nl
prefLabel
Insight and strategy in multiple-cue learning.
@en
Insight and strategy in multiple-cue learning.
@nl
P2093
P1476
Insight and strategy in multiple-cue learning.
@en
P2093
Ben R Newell
David A Lagnado
David R Shanks
Steven Kahan
P304
P356
10.1037/0096-3445.135.2.162
P577
2006-05-01T00:00:00Z