Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches
Making effective decisions during approach-avoidance conflict is critical in daily life.
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
Computational approaches to modeling gambling behaviour: Opportunities for understanding disordered gambling
Computational modeling has become an important tool in neuroscience and psychiatry
research to provide insight into the cognitive processes underlying normal and pathological …
research to provide insight into the cognitive processes underlying normal and pathological …
Dopamine regulates decision thresholds in human reinforcement learning in males
Dopamine fundamentally contributes to reinforcement learning, but recent accounts also
suggest a contribution to specific action selection mechanisms and the regulation of …
suggest a contribution to specific action selection mechanisms and the regulation of …
Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience
In cognitive neuroscience, computational modeling can formally adjudicate between
theories and affords quantitative fits to behavioral/brain data. Pragmatically, however, the …
theories and affords quantitative fits to behavioral/brain data. Pragmatically, however, the …
A new model of decision processing in instrumental learning tasks
Learning and decision-making are interactive processes, yet cognitive modeling of error-
driven learning and decision-making have largely evolved separately. Recently, evidence …
driven learning and decision-making have largely evolved separately. Recently, evidence …
Beyond drift diffusion models: Fitting a broad class of decision and reinforcement learning models with HDDM
Computational modeling has become a central aspect of research in the cognitive
neurosciences. As the field matures, it is increasingly important to move beyond standard …
neurosciences. As the field matures, it is increasingly important to move beyond standard …
Persistent activity in human parietal cortex mediates perceptual choice repetition bias
Humans and other animals tend to repeat or alternate their previous choices, even when
judging sensory stimuli presented in a random sequence. It is unclear if and how sensory …
judging sensory stimuli presented in a random sequence. It is unclear if and how sensory …
Adaptive Cost-Benefit Control Fueled by Striatal Dopamine
MJ Frank - Annual Review of Neuroscience, 2025 - annualreviews.org
The twenty-first century has brought forth a deluge of theories and data shedding light on the
neural mechanisms of motivated behavior. Much of this progress has focused on …
neural mechanisms of motivated behavior. Much of this progress has focused on …
Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms
Cognitive theories of depression, and mindfulness theories of well-being, converge on the
notion that self-judgment plays a critical role in mental health. However, these theories have …
notion that self-judgment plays a critical role in mental health. However, these theories have …
Cognitive-attentional mechanisms of cooperation—with implications for attention-deficit hyperactivity disorder and cognitive neuroscience
People's cooperativeness depends on many factors, such as their motives, cognition,
experiences, and the situation they are in. To date, it is unclear how these factors interact …
experiences, and the situation they are in. To date, it is unclear how these factors interact …