Publications by authors named "Jonathan D Trattner"

Randomized experiments are the "gold standard" for inferring causation and are designed to collect covariate information. Yet, many questions cannot be answered with experiments practically or ethically. Often, potential confounds are controlled statistically as covariates in quasi-experimental designs.

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Relative to the general population, adolescents with psychiatric disorders such as major depression disorder are incarcerated (and reincarcerated) at higher rates. Current research is mixed on whether this association is a cause, consequence, or the product of selection. For example, aggression can lead to more depressive symptoms, yet depression is associated with antisocial behaviors (e.

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Behavior genetics is a field that studies how our genes and environment contribute to differences in behavior and traits among individuals. Traditionally, twin studies have long been a cornerstone of this field, helping researchers understand how genetics influence behavior. Recently, the focus has expanded to include studies with more complex family structures, e.

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How the human brain generates conscious phenomenal experience is a fundamental problem. In particular, it is unknown how variable and dynamic changes in subjective affect are driven by interactions with objective phenomena. We hypothesize a neurocomputational mechanism that generates valence-specific learning signals associated with 'what it is like' to be rewarded or punished.

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Article Synopsis
  • Psychiatric diagnoses in the DSM-5 rely on self-reported symptoms and clinician assessments, but this approach may hinder deeper scientific investigations into the root causes of mental health issues.
  • The reward prediction error (RPE) hypothesis of dopamine neuron function suggests that dopamine signals reflect the difference between what people expect to receive as a reward and what they actually experience, but current models mainly emphasize reward processing and overlook the role of punishment learning.
  • This review focuses on four psychiatric disorders—addiction, schizophrenia, depression, and PTSD—examining how insights from reinforcement learning theory can improve understanding of dopaminergic mechanisms linked to these disorders, stressing the need for more research on punishment learning in psychiatric contexts.
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