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This paper develops an interpretable AI framework to map brain dynamics onto a latent space, identifying a cerebello-prefrontal signature associated with schizophrenia symptoms.

The paper investigates neural correlates of reward-cognition interactions and apathy in the psychosis continuum using fMRI and clinical scores.

The paper shows that humans can adjust confidence ratings for unaware visuomotor deviations using summary statistics, challenging the idea of limited action monitoring.