Neural and Behavioral Psychology Studies

Linking cross-species hemodynamics with neuronal activity in prefrontal cortex during abstract sequence viewing

This study links hemodynamic responses and neuronal activity in prefrontal cortex across humans and macaques during abstract sequence viewing, showing functional homology and distinct spiking dynamics.

Resource-Rational Encoding of Reward Information in Working Memory During Planning

This study shows humans allocate working memory during planning based on decision relevance, not salience, using computational models and behavioral experiments.

Learning to Pursue Goals that Conflict with Prior Experience Relies on Fast Revaluation and Slow Value Updating

The paper shows humans can learn counterintuitive goals but with initial costs, supported by fast revaluation and slow value updating mechanisms.

Stress, Heartbeats, and Biases: Cardiac phase and acute stress modulate affective and spatial response bias.

This study examines how cardiac phase and acute stress influence affective and spatial response biases in decision-making tasks.

Amygdala Persistence in Aging: Replication and Extension of Puccetti et al. (2021)

This paper replicates and extends Puccetti et al. (2021) by examining age-related differences in affect and amygdala connectivity using fMRI and diary data.

A Mechanistic Theory Unifying Value and Schema in the Prefrontal Cortex

This paper develops a mechanistic model of the Prefrontal Cortex that unifies value and structure through behavioural flexibility, showing that value acts as a control signal for working memory representations.

Repeated within-session rule switching in the marmoset: a paradigm for tracking the dynamics of cognitive flexibility

This study develops a task for marmosets to repeatedly switch rules without cues, showing they can adapt behavior and learn efficiently.

Longitudinal associations between task-control network functioning, cognition, and the environment in early adolescence

This study examines how task-control network functioning, cognition, and environmental factors co-develop in early adolescence using longitudinal data from the ABCD Study.

Acute stress reorganizes pregenual cingulate and subthalamic coupling to approach-avoidance decisions in remitted depression

This study shows that acute stress reorganizes neural coupling in rMDD patients during decision-making, predicting future depressive symptoms.

A parsimonious, age-invariant, and psychometrically validated neural signature of task-control network functioning

The paper identifies a stable, age-invariant neural signature of task-control network functioning using latent variable modeling across developmental stages.

Goal-directed action selection relies on conjunctive representations that bind goals, actions and expected sensory outcomes

The paper shows that predicted sensory outcomes are integrated into conjunctive neural representations during goal-directed action selection, influencing reaction times and learning.

Pupil Dynamics Reflect Uncertainty-Driven Adjustments of Probability Learning

This study shows that pupil dynamics reflect uncertainty-driven adjustments in probability learning by tracking change point probability and prior uncertainty through phasic and tonic pupil responses.

Associations Between Neural Responses to Social Fairness and Financial Exploitation Vulnerability Vary With Age and Emotional Intelligence

The paper examines how neural responses to social and nonsocial fairness relate to financial exploitation vulnerability, showing age and emotional intelligence modulate these associations.

Motivational incentives improve working memory performance by enhancing memory-based representations rather than altering response strategies

This study shows motivational incentives improve working memory performance by enhancing memory-based representations, not by altering response strategies or speed-accuracy trade-offs.

Neural latent representation of implicit perceptual decision confidence signatures from brain-wide intracranial EEG

The paper identifies robust low-dimensional neural latent representations of implicit perceptual decision confidence using brain-wide iEEG data without explicit confidence reports.

Causal evidence for the role of dorsolateral prefrontal cortex in the implementation of cognitive control adjustments

This study uses TMS and computational modeling to show that DLPFC causally influences trial-to-trial control adjustments in response conflict tasks.

Reduced Control Over Pavlovian-to-Instrumental Transfer in Human Addiction: A Systematic Investigation Across Alcohol Use Disorder and Smoking Status

This study investigates Pavlovian-to-instrumental transfer (PIT) interference in individuals with alcohol use disorder (AUD) and smoking status, finding greater PIT interference and reduced prefrontal activation in AUD participants.

Explaining temporally clustered errors with an autocorrelated Drift Diffusion Model

The paper introduces an autocorrelated Drift Diffusion Model to better account for temporally clustered errors in decision-making tasks, showing it outperforms traditional models.

Mice adapt their learning rate to stochasticity and volatility through a simple heuristic

The paper shows mice adjust their learning rate based on environmental volatility and stochasticity in a probabilistic reversal task, using a meta-learning rule that captures these dependencies.

Nonhuman primates exhibit error type-dependent post-error slowing across modalities

This study shows that rhesus macaques exhibit error type-dependent post-error slowing across different response modalities, similar to humans.

A choice disinhibition paradigm to reveal neural correlates of behavioral disinhibition in Frontotemporal dementia

This study introduces a behavioral paradigm to assess disinhibition in a mouse model of frontotemporal dementia, identifying specific neural circuits involved in self-control.

Disentangling the temporal signatures of conditioned pupil dilation: Distinct valence- and prediction-error-related components revealed by mega-analysis

This study identifies distinct temporal components of pupil dilation during learning, revealing valence-specific and prediction-error-related processes through a mega-analysis of multiple datasets.

Cracking the predictive stability code: dual trial-by-trial spatio-temporo-spectral dynamics of task representation directional tuning by Bayesian conflict expectations

The paper analyzes EEG data from a spatial Stroop task to uncover how conflict expectations influence predictive stability through distinct spatio-temporo-spectral dynamics.

Decomposing response inhibition: a POMDP model

The paper introduces a POMDP model to analyze inhibitory control in the Stop Signal Task, identifying computational attributes linked to ADHD scores in a large cohort.

Variability of Head Motion Reveals Development of Spatial Attention

This study shows that task-independent head movements decrease with age and correlate with attention accuracy, indicating they reflect attentional control rather than noise.

Active Escape or Active Change? Decomposing Pavlovian Bias into Non-emotional Components

The paper decomposes Pavlovian bias into non-emotional components using a novel paradigm, showing that previously attributed emotional biases can be explained by transition and cue salience.

Population geometries in frontal cortex coordinate value-based decisions

The paper investigates how different regions of the frontal cortex process decision-making by analyzing population geometries in mice choosing between reward amounts and delays.

Novelty-seeking and directed exploration scale with dissociable social network outcomes and brain systems in older adults

This study links undirected novelty seeking and goal-directed exploration in older adults to distinct social network outcomes and brain systems using fMRI and a social bandit reinforcement task.

Dynamic belief representation and updating through learned attractor-like dynamics in the frontal cortex

The paper shows that OFC population activity in mice exhibits task-specific attractor-like dynamics during belief-state inference, mirroring Value-RNN dynamics.

Neural Dynamics of Self-Control: Pre-Choice EEG Signals Predict Yielding to Temptation

The paper shows that pre-choice EEG signals predict yielding to temptation in a reward choice task, indicating neural biases toward self-defeating choices before decision-making.