Origins and consequences of mood flexibility: a computational perspective
A stable and neutral mood (euthymia) is commended by both economic and clinical
perspectives, because it enables rational decisions and avoids mental illnesses. Here we …
perspectives, because it enables rational decisions and avoids mental illnesses. Here we …
A levels-of-analysis framework for studying social emotions
Social emotions such as guilt and gratitude serve adaptive functions critical to social
interactions and relationships. Therefore, an ecologically valid approach to studying the …
interactions and relationships. Therefore, an ecologically valid approach to studying the …
Brain mediators of biased social learning of self-perception in social anxiety disorder
Social anxiety disorder (SAD) is characterized by an excessive fear of social evaluation and
a persistently negative view of the self. Here we test the hypothesis that negative biases in …
a persistently negative view of the self. Here we test the hypothesis that negative biases in …
Language sentiment predicts changes in depressive symptoms
The prevalence of depression is a major societal health concern, and there is an ongoing
need to develop tools that predict who will become depressed. Past research suggests that …
need to develop tools that predict who will become depressed. Past research suggests that …
[HTML][HTML] The association between social rewards and anxiety: Links from neurophysiological analysis in virtual reality and social interaction game
Individuals' affective experience can be intricate, influenced by various factors including
monetary rewards and social factors during social interaction. However, within this array of …
monetary rewards and social factors during social interaction. However, within this array of …
Affective integration in experience, judgment, and decision-making
The role of affect in value-based judgment and decision-making has attracted increasing
interest in recent decades. Most previous approaches neglect the temporal dependence of …
interest in recent decades. Most previous approaches neglect the temporal dependence of …
[HTML][HTML] Dorsal raphe neurons signal integrated value during multi-attribute decision-making
The dorsal raphe nucleus (DRN) is implicated in psychiatric disorders that feature impaired
sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when …
sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when …
Dorsal raphe neurons integrate the values of reward amount, delay, and uncertainty in multi-attribute decision-making
The dorsal raphe nucleus (DRN) is implicated in psychiatric disorders that feature impaired
sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when …
sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when …
[PDF][PDF] Unraveling repetitive negative thinking with reinforcement learning
Recent advances in the computational dynamics of planning and state inference from the
interdisciplinary field of reinforcement learning offer rich opportunities for insights into …
interdisciplinary field of reinforcement learning offer rich opportunities for insights into …
What is computational psychopathology, and why do we need it?
Computational Psychopathology is an emerging discipline, which is based around the
theoretical and mechanistic focus of explanatory psychopathology and computational …
theoretical and mechanistic focus of explanatory psychopathology and computational …