Neural and Behavioral Psychology Studies

Common Neural Choice Signals reflect Accumulated Evidence, not Confidence

The paper investigates whether neural signals reflect confidence or accumulated evidence, finding that they track evidence rather than confidence directly.

Automatic pairing of real-world stimuli in younger and older adults: An event-related potential study

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.

Hybrid Neural-Cognitive Models Reveal Flexible Context-Dependent Information Processing in Reversal Learning

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

Control adjustment costs limit goal flexibility: Empirical evidence and a computational account

The paper demonstrates control adjustment costs when people change goals and validates a dynamical systems model explaining these costs through four experiments.

Neural mechanisms and effects of acute stress on athletess' unfair decision-making 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.

Prior learning shapes effort choice, revealing valence asymmetries and disruption in anhedonia

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

Short-term memory capacity and chronic stress levels predict cognitive effort choice as a function of reward level and effort demand

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

Neural and behavioral signatures of policy compression in cognitive control

The paper presents an information-theoretic framework for understanding cognitive control costs in context-dependent decisions, showing that policy complexity increases with response deadlines and correlates with neural dimensionality.

Reward Network Activations of Win versus Loss in a Monetary Gambling Task

The paper examines neural activity in the reward network during win and loss outcomes in a gambling task and links these activations to behavioral and cognitive traits.

Inhibition and Updating Share Common Resources: Bayesian Evidence from Signal Detection Theory and Drift Diffusion Model

This study investigates the relationship between inhibition and updating using a novel task framework and Bayesian analysis, finding that inhibition impairs updating performance, suggesting shared cognitive resources.

Satiety does not abolish Pavlovian-to-instrumental transfer but accelerates devaluation in humans

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.

Dynamic prioritization reshapes neural geometries for action in human working memory

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

A naturalistic reinforcement learning task uncovers historical neural representations

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.

A neurofunctional signature of affective arousal generalizes across valence domains and distinguishes subjective experience from autonomic reactivity

The paper develops a brain affective arousal signature (BAAS) using fMRI and predictive modeling, showing its generalizability across valence domains and distinction from autonomic arousal.

Intact reinforcement learning in healthy ageing

This study investigates reinforcement learning in older adults using a high-demand navigation task, finding no significant age-related differences in key behavioral and model parameters.

Twice as nice: Boosts in adolescent reinforcement learning from Pavlovian bias and age-related prioritization of reward-motivated incidental memory.

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

Irrational decisions reflect robustness constraints on value computations implemented by orbitofrontal circuits

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

Emotion Regulation in the Gradient Framework: Large-Scale Brain Organization Shapes Individual Differences in Reappraisal Success

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

Cerebellar and Subcortical Contributions to Working Memory Manipulation

The paper investigates the role of cerebellar and subcortical regions in working memory manipulation using fMRI during a mental rotation task, finding increased BOLD activity and delayed responses in these areas with larger rotation angles.

Multiregional Representations of Intertemporal Decision Making in Human Single Neurons

The paper identifies human single neuron representations of intertemporal decision-making in specific brain regions and their relation to reward preferences.

Intertemporal choice across short and long time horizons: an fMRI study

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.

Incorporation of a cost of deliberation time in perceptual decision making

The paper tests how time costs affect decision-making by manipulating time pressure in a perceptual task, finding that participants made faster but less accurate decisions.

The Temporal Dynamics of Metacognitive Experiences Track Rational Adaptations in Task Performance

This study examines how metacognitive experiences like boredom and frustration evolve over time during a task and relate to cognitive processes that optimize performance.

Neural Mechanisms of Feedback Processing and Regulation Recalibration during Neurofeedback Training

This paper analyzes fMRI neurofeedback data to identify brain regions and networks involved in feedback processing and regulation recalibration during training.

When Stopping Requires Going; Physiological Similarities Between Action Cancellation and the Cancellation of Action Cancellation

This study compares the physiological mechanisms of action cancellation and cancellation of action cancellation using EMG, finding no difference in cancellation speed between conditions.

Age-related Increase in Locus Coeruleus Activity and Connectivity with Prefrontal Cortex during Ambiguity Processing

This study finds older adults show increased locus coeruleus activity and connectivity with dorsolateral prefrontal cortex during ambiguous facial emotion recognition, linked to better mental well-being.

Species-conserved mechanisms of abstract rule learning promote cognitive flexibility in complex environments

This study identifies a species-conserved mechanism of hypothesis testing in rats and humans during rule learning, which enhances cognitive flexibility in complex environments.

Neural correlates of evidence accumulation in social-affective decision-making under perceptual ambiguity

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.

Similar Dynamic Frontal Cortex Representations of Auditory Stimuli Cueing Opposite Actions and Rewards

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.

Leveraging Machine Learning to Uncover the Hidden Links between Trusting Behavior and Biological Markers

This study uses a Bayesian hierarchical model to decode decision-making properties from trust game data, identifying biomarkers linked to trusting behavior in MDD patients and healthy controls.