A computational study reveals that women with borderline personality disorder maintain intact social learning mechanisms despite holding pervasive negative expectations ...
Decomposing resting-state brain activity into synergistic and redundant components reveals distinct, dissociable network alterations across schizophrenia, autism, and ADHD.
A new computational psychiatry framework proposes that borderline personality disorder arises from a precision imbalance between bodily and social inference, ...
Schizophrenia and bipolar disorder have haunted psychiatry with a diagnostic dilemma that is as old as the disciplines themselves. Both ...
A new review in Communications Psychology maps how engineering techniques for safe reinforcement learning and the brain's own defensive mechanisms ...
A new Perspective in Nature Reviews Psychology argues that merging the Hierarchical Taxonomy of Psychopathology with computational psychiatry could finally ...
By jointly modeling response times alongside choices, researchers disentangled working memory, cognitive control and reinforcement learning, and uncovered schizophrenia deficits ...
New research shows that high trait anxiety leads people to mistake random reward fluctuations for genuine environmental change, and that ...
A new study links the structure of everyday emotion-transition networks to brain network variability, revealing how neural flexibility shapes the ...
Researchers at Peking University found that depression traits slow reinforcement learning rates while anxiety traits speed them up, revealing distinct ...
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