Neural and Behavioral Psychology Studies

The paper examines how striatal dopamine maturation supports habitual behavior development from adolescence to adulthood using longitudinal data.

The paper investigates how humans balance detailed and temporally abstract world models during learning, finding individual variation in strategy use and dynamic adaptation based on environmental predictability.

This study investigates how humans adapt to distraction in multidimensional environments and finds that control adaptation is highly dimension-specific.

The paper shows that humans experience a brief reduction in sensory-to-decision efficiency after switching perceptual rules, suggesting a bottleneck in adjusting sensory information flow.

The paper partially replicates and generalizes Bramson et al.'s 2023 findings on functional anatomical shifts in emotion action control related to anxiety using fMRI data from a different sample and paradigm.

The paper investigates ramping patterns in brain regions during abstract and motor sequence tasks, finding distinct activity in prefrontal and parietal cortices.

The paper identifies neural activity patterns in brain networks linked to self-reported thought control difficulties using fMRI and multivariate pattern analysis during working memory tasks.

The paper investigates neural mechanisms of cognitive control during conflict between visual working memory and perception using EEG and reinforcement-learning models.

The paper investigates perceptual exposure to visual stimuli in monkey lateral prefrontal cortex subregions, finding that p46v, not p46f, shows preferential activation to low-exposure stimuli.

This study uses fMRI to investigate brain regions associated with approach and avoidance tendencies toward physical activity and sedentary stimuli, finding distinct neural correlates for each behavior.

This paper shows that combining hierarchical Bayesian modeling with multivariate decoding improves the reliability and precision of estimating individual differences in cognitive control from fMRI data.

The paper investigates the cerebral organization of perceived and felt emotions using fMRI and emotional movies, revealing shared and distinct neural mechanisms across brain regions.

This study examines age-related changes in midfrontal theta oscillations during cognitive flexibility tasks, finding reduced theta power and task modulation in older adults.

This study uses EEG hyperscanning to decode neural representations during competitive Rock-Paper-Scissors gameplay, revealing cognitive biases and the influence of prior outcomes on decision-making.

This study investigates how reward and contextual unexpectedness affect memory encoding and retrieval using fMRI, identifying distinct brain regions and pathways involved.

The paper investigates how predictable distractors affect neural responses and cognitive load during an auditory task, finding that predictability reduces uncertainty and impacts neural activity differently under varying loads.

The paper compares hierarchical and flat neural network models to understand cognitive control in the frontal medial cortex using fMRI data.

This study identifies four computational mechanisms underlying effort-based decision-making in depression and finds that remitted and current depressed individuals show reduced effort acceptance bias.

The paper investigates how frontoparietal brain regions encode visual and auditory rules, finding that they use modality-specific codes rather than generalizable representations.

This study identifies increased punishment sensitivity and specific neural activity patterns in chronic pain and fatigue patients during decision-making tasks.

This study shows adolescent and adult mice use both reinforcement learning and short-term memory strategies to learn a conditional odor association task, with no developmental difference in learning rates but increased reliance on perseverative strategies in males.

The paper examines how uncertainty adjustment changes with age using behavioral and neuroimaging data, finding older adults show reduced uncertainty adjustment compared to younger adults.

This study uses joint models to analyze human subcortical contributions to choice and learning, finding subcortical regions involved in decision urgency and reward prediction error processing.

The paper investigates how attention interacts with learning strategies in multidimensional reward environments, finding that attention modulates future learning rather than directly affecting decision making.

This paper uses representational similarity analysis to show how neural representations of cognitive control transition gradually across subregions of the lateral prefrontal cortex, with differences in dimensionality and generalisability.

This study investigates how memory and stress affect choice consistency using computational modeling, neuroimaging, and behavioral assessments, finding that stress impairs memory retrieval and choice consistency.

This paper identifies computational strategies for cost-benefit decision-making in humans and rodents, showing their shared use and adaptation based on factors like hunger and sex.

This paper designs tasks to predict human prediction error, generating subject-independent tasks that modulate behavior and neural activity in reward learning.

This study examines how high physical activation affects neural markers of cognitive control, finding no significant behavioral impact but unreliable neural measures.

The paper shows that damage to caudal anterior cingulate cortex (ACC) reduces reward positivity (RewP) amplitude, confirming its role as the neural generator of this ERP component in humans.