Raymond J. Dolan

The paper demonstrates that humans reuse learned subtask representations during planning, showing behavioral, computational, and neural evidence of subtask reactivation and reuse.

This study uses HD-tACS and neural decoding to show that sensory cortical disinhibition is necessary for long-term fear memory in humans.

The paper investigates replay detection using TDLM and MEG during post-learning resting states and finds no evidence of replay, suggesting methodological limitations in detecting low-density replay events.

The paper identifies a bias in information weighting, specifically reduced recency-weighted evidence integration, as a driver of indecisiveness across obsessive-compulsive and anxiety disorders.

This study investigates how dopamine affects reinforcement learning in humans using L-DOPA and finds it reduces switching after low rewards and influences learning rate and precision.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper identifies trait-like visual cortical hyperactivity in individuals with high trait anxiety, specific to the parvocellular pathway and linked to disrupted excitation-inhibition modulation.

The paper identifies a negative habenula-ventral tegmental area functional coupling linked to risk-aversion and pro-variance bias in humans using fMRI and computational modeling.

The paper investigates neural dynamics during multi-step planning using MEG, showing evolving value encoding and state reactivation linked to improved performance and learning.

The paper examines how locus coeruleus integrity and fMRI activations relate to memory encoding in healthy aging and MCI.

This study investigates semantic structure and retrieval impairments in schizophrenia using word association tasks and MEG, finding idiosyncrasy in semantic representations among patients with speech disorganization.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper investigates neural mechanisms of credit assignment for delayed outcomes using fMRI and an adaptive learning task, identifying roles for lOFC, HC, and lFPC in tracking causal choices over time.

The paper shows that biased neural replay of aversive and uncertain outcomes underlies irrational decision making in humans.

The paper develops a neural network model, Sleep Interpreter (SI), to decode memory replay from sleep EEG and shows it can accurately detect reactivation during sleep that correlates with memory performance.

The paper investigates how neural representations support the reuse of abstract structural knowledge in humans during sequence learning tasks.

This study uses EEG-fMRI to examine brain-wide activation during neural replay, finding correlations between replay strength and hippocampal activity, medial prefrontal cortex activity, and connectivity to the default mode network.

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

The paper shows that reactivation strength during cued recall decreases with graph distance, only in successful retrieval, suggesting graded clustered reactivation in cognitive maps.

The paper shows that boosting serotonin reduces sensitivity to cognitive effort during information gathering, increasing willingness to gather information for reward.

The paper investigates how resilient functioning in adolescents exposed to childhood adversity relates to structural brain network topology, finding lower nodal degree in specific brain regions associated with higher resilience.

This study uses EEG to investigate offline learning mechanisms, finding that backward replay strength correlates with trait anxiety and reward preference.

The paper shows that replay of reward and punishment paths during planning predicts approach and avoidance decisions, with replay of punishing paths influencing irrational choices in anxious individuals.

The paper investigates distinct neural replay signatures during decision-making and memory preservation in humans using MEG and multivariate analysis.

The paper investigates how the hippocampal formation represents different types of relational information by analyzing fMRI data to show distinct semantic and statistical maps.

The paper investigates how sensory precision affects confidence in decision-making, finding systematic under-confidence in low-precision stimuli and linking it to neural and physiological factors.

The paper examines sex differences in brain network development during adolescence and links them to depression risk, finding divergent patterns in functional connectivity and gene expression.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

This study shows that sharing responsibility in social decision-making reduces the sense of agency, affecting motor preparation and outcome processing in the brain.