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Neural Activity When People Solve Verbal Problems with Insight
People sometimes solve problems with a unique process called insight, accompanied by an “Aha!” experience. It has long been unclear whether different cognitive and neural processes lead to insightExpand
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Cued Memory Reactivation During Sleep Influences Skill Learning
Information acquired during waking can be reactivated during sleep, promoting memory stabilization. After people learned to produce two melodies in time with moving visual symbols, we enhancedExpand
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Brain networks for analyzing eye gaze.
The eyes convey a wealth of information in social interactions. This information is analyzed by multiple brain networks, which we identified using functional magnetic resonance imaging (MRI).Expand
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When memory does not fail: familiarity-based recognition in mild cognitive impairment and Alzheimer's disease.
Recognition can be guided by familiarity, a restricted form of retrieval devoid of contextual recall, or by recollection, which occurs when retrieval is sufficient to support the full experience ofExpand
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Neural correlates of rule-based and information-integration visual category learning.
An emerging theory of the neurobiology of category learning postulates that there are separate neural systems supporting the learning of categories based on verbalizeable rules (RB) or throughExpand
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Action selection and refinement in subcortical loops through basal ganglia and cerebellum
  • J. Houk, C. Bastianen, +5 authors L. Simo
  • Computer Science, Medicine
  • Philosophical Transactions of the Royal Society B…
  • 29 September 2007
This paper relates the computational features of a DPM's loop through the basal ganglia to experimental results for two kinds of natural action selection. Expand
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Implicit and explicit contributions to statistical learning.
Statistical learning allows learners to detect regularities in the environment and appears to emerge automatically as a consequence of experience. Statistical learning paradigms bear manyExpand
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Cortical areas supporting category learning identified using functional MRI.
Functional MRI was used to identify cortical areas involved in category learning by prototype abstraction. Participants studied 40 dot patterns that were distortions of an underlying prototype andExpand
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Neural Correlates of Successful Encoding Identified Using Functional Magnetic Resonance Imaging
Neural activity that occurs during the creation of a new memory trace can be observed using functional magnetic resonance imaging (fMRI). Event-related designs have been used to demonstrate thatExpand
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