about
Using Highlighting to Train Attentional ExpertiseLearning where to look for a hidden target.Bayesian community-wide culture-independent microbial source tracking.Reviewing erroneous information facilitates memory updating.Improving students' long-term knowledge retention through personalized review.Maximizing students' retention via spaced review: practical guidance from computational models of memory.Retrieval practice over the long term: should spacing be expanding or equal-interval?Unconscious cognition isn't that smart: modulation of masked repetition priming effect in the word naming task.Improving Human-Machine Cooperative Classification Via Cognitive Theories of Similarity.Forgetting of Foreign-Language Skills: A Corpus-Based Analysis of Online Tutoring Software.Correction: Using Highlighting to Train Attentional Expertise.Optimal predictions in everyday cognition: the wisdom of individuals or crowds?The persistent impact of incidental experience.Sequential dependencies in driving.Optimizing distributed practice: theoretical analysis and practical implications.When does fading enhance perceptual category learning?Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity.Rejecting salient distractors: Generalization from experience.Sequential effects in response time reveal learning mechanisms and event representations.Object-based control of attention is sensitive to recent experience.Dynamic adaptation to history of trial difficulty explains the effect of congruency proportion on masked priming.Mechanisms of priming of pop-out: Stored representations or feature-gain modulations?Frames of reference in unilateral neglect and visual perception: a computational perspective.Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning.Sequential Dependencies in Human Behavior Offer Insights into Cognitive ControlHow lexical decision is affected by recent experience: symmetric versus asymmetric frequency-blocking effectsDeep neural network improves fracture detection by cliniciansExperience-dependent perceptual grouping and object-based attentionExperience-dependent perceptual grouping and object-based attentionExperience-dependent perceptual grouping and object-based attentionAdapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningLearning Deep Disentangled Embeddings With the F-Statistic LossSparse Attentive Backtracking: Temporal Credit Assignment Through RemindingArtificial intelligence to support human instructionSkeletonization: A Technique for Trimming the Fat from a Network via Relevance AssessmentTRAFFIC: Recognizing Objects Using Hierarchical Reference Frame TransformationsDiscovering the Structure of a Reactive Environment by ExplorationDiscovering Discrete Distributed Representations with Iterative Competitive LearningConnectionist Music Composition Based on Melodic and Stylistic ConstraintsInduction of Multiscale Temporal Structure
P50
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P50
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researcher, University of Colorado Boulder
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Michael C. Mozer
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