Neural and Behavioral Psychology Studies

This study examines the structural connections of the right inferior frontal gyrus subregions and their association with inhibitory control tasks.

The paper combines computational modeling and EEG to show that frontoparietal connectivity reflects value accumulation in intertemporal choice.

The paper shows that emotion suppression failures are linked to increased sleep-like brain activity in specific regions and are influenced by prior sleep duration.

The paper examines hierarchical organization in medial prefrontal cortex regions during risky choices in macaques, finding increased decodability and longer timescales along a specific pathway.

The paper shows that earlier experiences have a stronger influence on reported mood than recent events, using computational modeling and neural evidence.

This study uses ERP-fMRI integration to identify P300 source locations in visual search tasks, finding distinct brain regions involved in bottom-up and top-down attention.

The paper investigates how cognitive self-regulation strategies affect attribute value construction and evidence accumulation during dietary decisions using EEG and a drift diffusion model.

The paper investigates neural state transitions during task-switching in a memory task and finds that task-switching leads to weaker current task representations and poorer performance.

This study shows that reward-specific satiety reduces subjective reward value signals in orbitofrontal cortex during multi-component economic choices.

This study contrasts hierarchical and multiple-demand theories of frontal lobe function during task-switching using fMRI, finding no abstraction hierarchy in PFC but increased PFC activity with switch costs.

The paper shows that pupil dilation and slow wave ERP reflect surprise during decision-making under uncertainty, and that these signals are independent and depend on feedback awareness.

This study finds that patients with ventromedial prefrontal cortex lesions show an increased approach bias to angry faces, linked to impulsivity and lesion size.

This paper investigates how human brain network resources are optimised during learning complex tasks using self-ordered switching fMRI paradigms, finding that structured behaviour with low algorithmic complexity improves performance.

The paper investigates action-outcome learning in moral conflicts using reinforcement learning models and fMRI, finding that model-based learning explains choices and reveals neural biases in valuing self-gain versus other-pain.

The paper identifies brain networks underlying functional core processes of emotions using componential modeling and multivariate analysis of emotional responses.

This study investigates how temporal expectation affects neural dynamics during delayed responses to working memory representations using behavioral and EEG experiments.

This study uses closed-loop fMRI neurofeedback to reduce negative attentional bias in depression, showing decreased bias and depression severity after training.

The paper shows that reward prediction errors are encoded in population-level activity of prefrontal and parietal neurons through opponent organization, enabling decoding of signed and unsigned RPEs.

This study identifies neural mechanisms of guilt and social responsibility during social decisions using fMRI and computational models.

This study shows that the anterior cingulate cortex (ACC) represents action-state transitions and mediates model-based reinforcement learning in mice by influencing subsequent choices based on these transitions.

This study uses machine learning to identify brain regions involved in distinguishing belief-loaded assumptions during logical decision-making, revealing key neural correlates of belief and logic interactions.

The paper shows that people adjust their mental effort based on expected reward and the efficacy of effort, supported by EEG data.

The paper investigates the neural mechanisms of control policy implementation by distinguishing it from rule learning using fMRI and behavioral experiments.

The paper was withdrawn due to concerns about the reported results, and the authors no longer support the findings.

The paper identifies two independent value systems in human PFC for reward and information, which are combined in subcortical regions to guide decisions.

The paper investigates how conjunctive representations influence action stopping and finds that stronger conjunctive representations predict lower stopping success and are suppressed during stopping attempts.

The paper investigates shared neural mechanisms in orbitofrontal cortex for inhibition and economic choice using macaque neural recordings and decoders.

This study investigates the role of the medial prefrontal cortex in guiding orienting behavior in rats, finding lateralized and time-dependent effects of PFC inactivation on decision-making.

This study uses machine-learning decoding of prefrontal cortex activity to identify distinct neural and behavioral signatures for spatial attention mechanisms and distractor suppression.

The paper shows that conflict in the dorsal anterior cingulate cortex (dACC) amplifies task-relevant information across neurons, rather than relying on specific conflict-encoding neurons or coactivation of action plans.