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Interoceptive interventions offer a promising avenue for improving mental health conditions, which commonly feature bodily or interoceptive symptoms. …

Molecular Psychiatry - Computational mechanisms of learning and forgetting differentiate affective and substance use disorders

Computational modeling revealed that individuals with methamphetamine use disorder show reduced information-seeking and slower belief-updating when trying to maximize long-term reward. This might crea...

Computational modeling revealed that individuals with methamphetamine use disorder show reduced information-seeking and slower belief-updating when trying to maximize long-term reward. This might crea...

A comparison of ‘pruning’ during multi-step planning in depressed and healthy individuals - Volume 52 Issue 16

Translational Psychiatry - Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder

Molecular Psychiatry - Directed exploration is reduced by an aversive interoceptive state induction in healthy individuals but not in those with affective disorders

Perceptual judgments of the environment emerge from the concerted activity of neural populations in decision-making areas downstream of the sensory...

Reinforcement Learning (RL) and Active Inference (AInf) are related computational frameworks for modeling learning and choice under uncertainty. However, differ

Interoception, the process of detecting, perceiving, and interpreting signals from within the body, is essential for physiological regulation and adaptive behavior. A growing body of research undersco...

Psychiatric disorders are highly heterogeneous and often co-morbid, posing specific challenges for effective treatment. Recently, computational modeling has emerged as a promising approach for charact...

Tübingen, Germany (July 14-16, 2025)