Predicting the integration of overlapping memories by decoding mnemonic processing states during learning
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Memory Reactivation Predicts Resistance to Retroactive Interference: Evidence from Multivariate Classification and Pattern Similarity Analyses.Hippocampal Mismatch Signals Are Modulated by the Strength of Neural Predictions and Their Similarity to Outcomes.Reducing future fears by suppressing the brain mechanisms underlying episodic simulation.Computational approaches to fMRI analysisHippocampal-medial prefrontal circuit supports memory updating during learning and post-encoding restInteractions between Memory and New Learning: Insights from fMRI Multivoxel Pattern Analysis.Consolidation Promotes the Emergence of Representational Overlap in the Hippocampus and Medial Prefrontal Cortex.Temporal Proximity Promotes Integration of Overlapping Events.Stress-induced cortisol hampers memory generalization.Memory integration constructs maps of space, time, and concepts.Abstract memory representations in the ventromedial prefrontal cortex and hippocampus support concept generalization.Reductions in Retrieval Competition Predict the Benefit of Repeated Testing
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P2860
Predicting the integration of overlapping memories by decoding mnemonic processing states during learning
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2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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name
Predicting the integration of ...... cessing states during learning
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Predicting the integration of ...... cessing states during learning
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Predicting the integration of ...... cessing states during learning
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Predicting the integration of ...... cessing states during learning
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Predicting the integration of ...... cessing states during learning
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Predicting the integration of ...... cessing states during learning
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P2860
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Predicting the integration of ...... cessing states during learning
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P2093
Brice A Kuhl
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10.1016/J.NEUROIMAGE.2015.08.051
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2015-08-29T00:00:00Z