Neural and Behavioral Psychology Studies

The paper investigates how brain structure, specifically grey matter density in the parietal cortex, mediates age-related increases in model-based control and learning from positive feedback during adolescence to adulthood.

This study shows that losartan improves reward learning by enhancing ventral striatal prediction errors and frontostriatal communication in healthy humans.

This study shows that noradrenergic projections to the rodent orbitofrontal cortex are necessary for updating action-outcome relationships during reversal learning.

This study investigates how social network structures influence human learning through a real-time distributed learning task, showing that learning is weighted toward well-connected neighbors based on informativeness.

This study examines age differences in frontoparietal connectivity during task switching in children and adults, finding that children's performance is linked to less adult-like activation patterns and increased IFJ-lPFC connectivity.

The paper challenges the interpretation of larger error negativity peak amplitudes under accuracy instructions, suggesting they reflect better neuro-cognitive alignment rather than more intense error processing.

The paper assesses the reliability of reinforcement learning and prospect theory parameters from two tasks and finds they predict future behavior reliably.

This study shows that children's multiple demand network is selective to cognitive demand, distinct from language regions, and increases in selectivity with improved executive function, independent of age.

The paper investigates how latent cause inference can lead to instrumental insensitivity to reinforcer devaluation without requiring model-free mechanisms.

This study investigates strategic exploration in macaques, showing distinct neural circuits in ACC/MCC-dlPFC and OFC that support strategic decision-making and counterfactual learning.

The paper shows that people can transfer learned expectations about cognitive flexibility demands across different task environments and stimuli.

The paper shows that prosocial behavior and interoceptive awareness are linked to neural similarity and dissimilarity in the ACCg and AI during vicarious reward processing.

This study shows that monkeys' food choices and learning are influenced by the nutrient content of rewards, with a nutrient-sensitive reinforcement learning model capturing these behaviors.

The paper uses computational modeling and EEG to study how contextual and individual differences in altruism arise from distinct neural processes during decision-making.

This paper introduces task-DyVA, a deep learning framework that models human response time sequences, capturing subject-specific behavioral differences and providing insights into cognitive theories.

This study investigates how stop-signal salience affects inhibitory control by analyzing electro-cortical responses during stop-signal tasks.

This paper investigates the link between impulsivity and preSMA activity during sequential gambling using rTMS, finding that preSMA modulation alters the relationship between trait and state impulsivity.

The paper identifies a neural substrate in mice where female-specific modulation of motivation by value is mediated by ACC-DMS neurons.

The paper investigates how value biases influence fast-paced perceptual decisions through distinct phases of anticipation, detection, and discrimination.

The paper identifies four functionally distinct subregions in rodent medial prefrontal cortex that process economic decision information differently along a dorso-ventral gradient.

This study investigates interhemispheric influences during selective stopping with proactive cueing, finding that stopping selectivity increases with stopping certainty and proactive response inhibition occurs in the cued hand.

This study examines how episodic memory retrieval impacts the timing and dynamics of value-based decisions using EEG and drift-diffusion modeling.

The paper investigates the timing of spatial, feature, and motor selection during working memory-guided behavior, finding temporally dissociable mechanisms for these processes.

This study challenges the assumption that model-free learning is automatic by showing that model-based strategies can reduce mental effort without increasing it.

The paper identifies the right inferior frontal gyrus as a key node and regulator in the basal ganglia-thalamocortical response inhibition circuit using fMRI and causal modeling.

This paper introduces a Reinforcement Meta-Learning framework to model information gathering trade-offs and shows it aligns with neural and behavioral findings on information demand.

This study shows that right inferior frontal cortex damage increases trigger failures in inhibitory control tasks but does not impair the implementation of inhibition once initiated.

The paper examines how confidence judgments relate to response dynamics across the adult lifespan, finding age-dependent changes in these associations.

This study shows that removing reinforcement in humans improves instrumental performance by reducing a general action bias, not by unmasking learned associations.

The paper examines brain activity in rats during rule shifts in a T-maze, identifying specific prefrontal and striatal regions activated during learning new reward contingencies.