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Neural sampling from cognitive maps enables goal-directed imagination and planning
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Impact-resistant, autonomous robots inspired by tensegrity architecture
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Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling Approach
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Towards principled knowledge editing methods for large language model reasoning
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Deep Cross-Branch Multi-Modal Fusion Network for early Alzheimer’s diagnosis
Artificial Intelligence in Medicine
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Capable language models can outgrow the benefits of collaboration
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Alzheimer’s disease risk prediction via perceptual deformable attention generative adversarial network with large foundation models
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Biomedical image analysis of facial signs: comparative assessment and interpretation of artificial intelligence models for TCM constitutional phenotyp
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Taming arbitrary modality missingness and imbalance: A unified graph-MoE framework for Alzheimer’s disease diagnosis
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