Neural and Behavioral Psychology Studies

The paper examines neural coding for value in six brain regions and finds no explicit value neurons, but shows value is encoded implicitly through orthogonal yet linked population subspaces.

The paper presents a cognitive process model to address context independence violations in the ABCD Study stop-signal task, improving SSRT estimation accuracy.

This study examines electrophysiological correlates of proactive and reactive inhibition in BPD patients and healthy controls using a modified Go/NoGo task, finding no group differences in inhibitory control mechanisms.

The paper shows that pre-trial firing rate patterns in human dlPFC predict conflict resolution in cognitive tasks, with distinct but related patterns for different conflict types.

The paper investigates how the brain binds features of options during decision-making using aligned and orthogonal subspaces in neural activity.

The paper introduces a neurometric approach to assess trust validity using brain patterns, showing high accuracy in predicting trust in a game and validating its relationship with safety beliefs and negative affect.

This study finds that emotional arousal enhances bottom-up attention and memory for salient stimuli in young adults but not older adults, suggesting age-related changes in arousal modulation of selective processing.

This study examines ERP components in the Predator-Prey Game, finding that FRN reflects feedback valence and P3b reflects role, with defence involving faster decisions and more automatic processes.

This study identifies a conserved cortico-subcortical architecture for explore-exploit decision making in humans and monkeys using computational models of fMRI data.

The paper investigates how emotion affects neural similarity between pictures and perceived similarity, finding increased neural similarity in specific brain regions for emotional stimuli, but no change in perceived similarity ratings.

This study investigates the role of mediodorsal thalamus (MD) and prelimbic cortex (PL) interactions in timing performance in rats using behavioral tasks and neural inactivation.

This paper identifies brain regions associated with willingness to pay using a meta-analysis of fMRI studies, finding common and distinct neural circuits for real and hypothetical choices.

The paper shows that bottom-up attention based on stimulus salience dominates value encoding in the OFC, while top-down attention has a weaker influence.

The paper develops a reward decision-making task and analyzes behavioral, computational, and neural correlates of reward maximization and melioration using EEG in 186 healthy adults.

This study uses fMRI and a computational model to show that affective and task-similar distractors differentially impact working memory through distinct neural mechanisms.

This study uses fMRI to investigate neural representations of decision uncertainty in metacognition and mentalizing, revealing distinct brain regions for self and other-related mental states.

This paper develops a computational model of cortico-striatal circuits to study how adaptive and habitual behaviors are controlled, showing that DMS and DLS subregions mediate different learning processes and that impaired executive control enhances inflexible behavior.

This study investigates how rats represent provisional decisions in dynamic environments, finding that Frontal Orienting Fields (FOF) encode evidence with temporal gain modulation and rapidly update during changes of mind.

The paper was withdrawn due to failure to replicate main results and is not intended for citation.

This study examines how long-term stress and trait anxiety interact to affect brain network balance during working memory tasks, finding altered decision-making and network dynamics.

Influenca is a gamified app for repeated assessment of reward learning, showing moderate reliability in reinforcement learning parameters over time.

The paper investigates how sensory modality and information domain interact to influence working memory and attention, showing that similar modality/domain combinations lead to greater interference and cognitive effort.

The paper introduces a novel Continuous Movement Stop Task (CMST) to study inhibitory control in motor behavior, showing it can distinguish between planned and reactive stopping.

The paper develops an fMRI-based brain marker predicting individual differences in delay discounting using machine learning, showing significant prediction accuracy in two independent studies.

The paper investigates how ventromedial prefrontal cortex (vmPFC) represents context and context-dependent values during decision-making, showing that both relevant and irrelevant values are encoded and influence behavior.

This study shows peer presence increases adolescents' prosocial behavior by accelerating their processing of others' rewards.

This paper tests two models of active removal from working memory using fMRI and behavioral tasks, assessing predictions through multivariate encoding modeling and representational similarity analysis.

This study uses MEG to compare response inhibition dynamics between high and low impulsivity adults during a go/no-go/stop-signal task, finding neural differences in attentional processing and compensatory mechanisms.

The paper shows that trial-wise choice variability in primate OFC is explained by variability in decoded value signals from simultaneously recorded neurons.

The paper shows that confidence in outcome predictions and their calibration to prediction precision improve learning efficiency through neural feedback processing.