Neural and Behavioral Psychology Studies

This study investigates how confidence in decisions is shaped by competitive neural signals across multiple cortical areas using magnetoencephalography.

The paper investigates neural mechanisms of switching between external and internal cognitive domains using EEG and fMRI, finding asymmetrical effects in temporal and spatial patterns.

The paper identifies four cognitive modes involved in emotion regulation during reappraisal using fMRI-CPCA, showing distinct neural engagement patterns for increasing and decreasing emotional responses.

The paper investigates neural dynamics during multi-step planning using MEG, showing evolving value encoding and state reactivation linked to improved performance and learning.

This study identifies distinct neural regions associated with reward and punishment influences on cognitive control using fMRI and a multi-incentive task, revealing how these incentives shape control strategies and mental effort.

The paper shows that latent-state inference, attention, and neural representational geometry are coordinated during flexible decision-making, with prediction errors affecting neural representations and task-relevant information prioritization.

The paper investigates how the brain computes flexible value representations for complex stimuli based on context, showing distinct neural encoding of attributes and integrated value in prefrontal cortex.

The paper investigates how reward and punishment learning differ in uncertain environments using EEG and Bayesian modeling, finding faster belief updates under punishment but no behavioral benefit.

This study shows that arousal increases locus coeruleus blood flow and modulates brain responses to negative-valence stimuli, while the amygdala shows valence-general responses.

This study investigates apathy as a reduction in prior precision of action outcome beliefs, finding a negative correlation between prior precision and apathy in healthy adults.

This study identifies a neural subspace in primate frontal cortex that tracks foraging-like computations, showing both foraging and reinforcement learning signatures.

The paper shows that concept learning creates attentional templates that guide attention during tasks, with better learning performance leading to faster responses to relevant probes.

The paper shows that neurons in the dorsal anterior cingulate cortex encode the ability to detect learnable associations in a task involving transitive inference.

The paper identifies two neural signatures of cognitive flexibility using ERP data from cued switching tasks, finding distinct theta and alpha/beta dynamics that correlate with task performance.

The paper shows that gaze is guided by two attentional priorities: exploratory attention for uncertainty and exploitative attention for reward history, using nonhuman primates in a learning task.

The paper examines how model-based and model-free valuation signals in the human brain relate to individual differences in behavioral control using fMRI data from a large sample.

This study shows social observation affects ERN and CRN trajectories over short timescales but not long timescales during a Flanker task.

The paper shows that striatal value signals track progress toward a goal during planning, supporting a goal gradient rather than full forward-planning models.

The paper demonstrates that plastic attractors can model flexible rule-based selective attention by forming task-specific synaptic connections and reproducing behavioral and neural findings.

The paper models how attentional priorities are updated in multidimensional environments using parallel belief states to explain learning and decision-making.

The paper shows that task engagement in the orbitofrontal cortex aligns population activity along a confidence axis, enabling confidence-based behavior in rats.

This study uses RNNs to model economic decision-making tasks with different output contingencies, revealing distinct neural dynamics for commodity-based and order-based reference frames.

This study shows that slower transitions between cognitive control states in older adults reduce cognitive flexibility, despite preserved ability to reach target states when given sufficient time.

This study compares computational models of approach-avoidance biases in suicidal populations using hierarchical Bayesian inference, finding that simpler models with value decay better explain behavior than complex ones.

This study finds that habitual video game play enhances reinforcement learning dynamics and consolidation under uncertainty but does not affect stable learning biases.

The paper examines age-related changes in emotional regulation neural correlates across race and socioeconomic status using UK Biobank MRI data, finding age-related decreases in amygdala activation but SES-related increases.

This study compares univariate and multivariate models of emotional valence encoding in the human amygdala using fMRI, finding that core amygdala regions use global activation rather than distributed patterns.

The paper shows that apathy-anhedonia is linked to pessimistic beliefs but not reduced goal-directed planning, with enhanced performance in value-based decision-making tasks.

This study examines how aging affects brain network connectivity during fairness decisions in an ultimatum game, finding age-related differences in default mode and executive control network interactions.

This study shows that circuit inhibition in the prefrontal cortex enables dynamic reorganization of task encoding, supporting cognitive flexibility by allowing rapid shifts in rule representations during learning.