Neural and Behavioral Psychology Studies

The paper applies a hybrid model to mouse decision-making data to uncover cognitive processes by combining theory-driven and data-driven approaches.

The paper investigates how age affects the automatic pairing of unrelated visual stimuli using event-related potentials, finding age-related differences in neural responses to contextual violations.

This study introduces HybridRNNs, neural-cognitive models that combine reinforcement learning with recurrent networks to better explain human reversal learning behavior.

This study investigates how acute stress affects unfair decision-making in athletes and non-athletes using fNIRS, finding that athletes under stress show greater acceptance of unfair decisions linked to specific neural activation patterns.

This study links probabilistic learning with effort-based decision making, showing that effort depends on internal value beliefs and is disrupted in anhedonia.

The paper examines how short-term memory and chronic stress influence cognitive effort choices under varying reward and effort conditions.

This study shows that satiety accelerates, rather than abolishes, the influence of food-associated cues in humans, with real-time ingestion affecting reward devaluation dynamics.

The paper shows that priority states of novel actions reshape their neural coding format dynamically and anticipatorily during working memory retention.

This study introduces a naturalistic reinforcement learning task to investigate neural representations during exploration, finding robust feedback history encoding in specific brain regions across two participant groups.

This study shows adolescents outperform children and adults in reinforcement learning using Pavlovian biases, while children have better memory for rewarding events.

The paper shows that irrational decision-making in monkeys may arise from robustness constraints in orbitofrontal circuits, as modeled by artificial neural networks.

The paper uses gradient-based brain organization to predict individual differences in emotion regulation success across two fMRI datasets.

This fMRI study examines neural mechanisms of intertemporal choices across seconds and days, finding overlapping activation in executive control and prospection networks but not valuation networks.

This study uses computational modeling and multimodal neuroscience to show how perceptual ambiguity affects evidence accumulation in social-affective decisions, revealing a corticolimbic network involved in this process.

The paper shows that frontal cortex responses to auditory stimuli cueing opposite actions and rewards are dynamically similar across tasks, with distinct neuronal clusters and decoding patterns.

This study challenges the idea of anterior dominance in primate prefrontal cortex by showing posterior dominance in task-related signals and frontopolar deactivation in macaques.

The paper identifies latent impulsivity dimensions in adolescents using PCA and links them to substance use and brain network connectivity in the ABCD study.

The paper investigates how the cerebellum and ventral striatum process social rewards using fMRI, finding the cerebellum responds uniformly to feedback regardless of reward valence, unlike the striatum.

This study shows that disrupting the mediodorsal thalamus with focused ultrasound reduces decision flexibility during reward learning in patients with essential tremor.

The paper introduces a state-dependent drift diffusion model to show mice switch between impulsive and deliberative decision states during tasks, revealing active exploration of the speed-accuracy trade-off.

This study investigates whether spatial memory mechanisms are shared across tasks requiring working memory and decision-making in primates, finding distinct roles for DLPFC and LIP.

The paper investigates the neural basis of negative affective traits using fMRI data from 458 adults, finding that whole-brain machine learning models better predict stress vulnerability than region- or network-level measures.

This study investigates how noradrenergic systems contribute to implicit learning by combining neuroimaging and behavioral assessments across age groups.

The paper investigates the neural mechanisms linking working memory capacity and proactive control using fMRI and behavioral data from the DMCC project, identifying a circuit involving rDLPFC and lMOT.

This study identifies the orbitofrontal cortex's role in consolidating recurrent choice patterns into a fixed action schema in rodents.

This study examines how goal-subgoal problem solving is encoded in a distributed network of frontal lobe regions in monkeys, showing specialized and shared representations across regions.

The paper shows that low-frequency oscillatory coherence in the orbitofrontal cortex correlates with risk preferences and that targeted stimulation reduces risk-taking behavior.

This paper investigates neural mechanisms of cognitive flexibility and interference control using EEG in a modified Stroop task, identifying distinct neural correlates for each process.

The paper develops a mood model to predict human happiness during a gambling task and finds similar mood-related neural activity in monkey anterior insular cortex.

This paper identifies a pathological elevation of the decisional reference point in depression patients, linking it to disease severity and proposing a virtual diagnostic test.