Neural and Behavioral Psychology Studies

This study investigates how humans make decisions based on multiple attributes, finding that decisions are influenced by competing features rather than a unified value estimate.

This study uses iEEG to show how reward and risk computations are temporally organized in the human brain, revealing cascading and parallel encoding patterns.

The paper identifies four neural systems related to cognitive reappraisal using Bayes factors and systems-identification in fMRI data from two studies.

The paper examines behavioural and EEG measures of metacognition across two cognitive domains, finding that metacognitive bias is reliable and domain-general, while efficiency is not, and identifying two EEG signatures linked to confidence.

The paper investigates how pre-stimulus oculomotor inhibition relates to sequential effects in temporal expectations, finding that inhibition weakens when previous trials are longer.

The paper explores how dopamine signaling in the nucleus accumbens influences cognitive control through active avoidance and omission behavior.

This paper introduces a valence-partitioned reinforcement learning model that predicts human choice behavior, subjective experience, and BOLD responses by processing reward and punishment independently.

This study identifies frequency-specific top-down modulation in the right inferior frontal gyrus (rIFG) during emotion-cognition interaction using EEG and source reconstruction in a large human cohort.

This study uses EEG to examine how sports experts coordinate habitual and goal-directed behaviors, finding enhanced automatic responses and response inhibition in specific brain regions.

This paper introduces a new mouse behavioral paradigm for frustrative non-reward and shows it alters brain network activity similar to irritability in youth.

The paper proposes a cognitive space theory to reconcile domain-general and domain-specific cognitive control by showing conflicts are organized in a low-dimensional space based on similarity.

This paper challenges claims about BOLD variability as a unique marker of cognitive performance by testing hypotheses related to its relationship with mean BOLD and trial design.

This study explores how cognitive control affects the geometry of cognitive maps in the brain and in neural networks, showing stable and context-dependent representations that relate to task demands.

This study investigates how single pulse TMS over prefrontal and premotor areas affects cognitive control processes during a Simon task, finding enhanced P300 amplitude but no behavioral changes.

This study investigates how task-irrelevant visual salience influences attention and valuation systems to drive incidental learning through behavioral and neuroimaging experiments.

The paper shows that a drift diffusion model with collapsing decision thresholds better captures time-dependent decision policies than fixed threshold models, supported by EEG beta power lateralization analysis.

The paper investigates inhibition mechanisms in the stop signal task, distinguishing between attentional capture and action cancellation, and finds involuntary pauses occur in both stop and ignore conditions.

This study investigates temporal anticipation in humans using magnetoencephalography, finding that right parietal cortex activity correlates with reaction times and represents event probability.

This study uses fMRI and TMS to investigate the roles of prefrontal and parietal cortex in task-switching, finding distinct functions for the aIFJ and IPS in preparatory control.

The paper analyzes neural population activity in the anterior cingulate cortex of monkeys to show how context is abstractly represented and how outcomes are encoded relative to this context.

This study shows mental effort cost learning is retrospective, updating decisions based on prediction errors at effort completion, not during the task.

The paper examines how exposure to appetitive cues affects temporal discounting and neural reward responses in humans, finding no significant effect on discounting despite increased neural activity.

This study identifies dysfunctional feedback processing in methamphetamine users through neurophysiological and computational analysis, revealing altered sensitivity to feedback and reduced medial-frontal theta oscillations.

The paper analyzes neural activity in macaques during a foraging task to show how prefrontal regions represent and control actions in a modular and hierarchical manner.

This paper identifies neural correlates of the go- and stop-processes in action-stopping using scalp potentials, showing how they align with the independent race model predictions.

This study compares the effects of complex exercise (badminton) and simple exercise (running) on inhibitory control and brain activation using fNIRS, finding improved Stroop task performance with complex exercise without increased brain activation.

This study investigates the role of the frontal eye field in mixed-strategy decision-making using a game-theoretic task in macaques, finding that FEF activity predicts choices and is causally involved in the process.

The paper examines how choice confidence and reward expectation are encoded in the caudate nucleus and frontal eye field during decision-making tasks in monkeys.