Rani Moran

Reuse of learned subtask representations during human planning

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

The Semantic Underpinnings of Speech Disorganization in Schizophrenia

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.

Neural representations supporting reuse of abstract structural knowledge in humans

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

Neurocomputational mechanisms of confidence in self and others

The paper investigates how confidence in others' decisions is computed by combining estimates of ability and decision difficulty, supported by specific brain systems.

Evidence integration and decision-confidence are modulated by stimulus consistency

The paper introduces a method to monitor decision boundaries and identifies a consistency bias in evidence integration that improves decision robustness.

Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference

This study shows that dopamine enhances model-free credit assignment by boosting retrospective model-based inference, with effects linked to working memory and a trade-off with model-based credit assignment.

Transferring structural knowledge across cognitive maps in humans and models

The paper shows that humans can transfer structural knowledge across tasks by inferring abstract basis sets, improving performance in novel environments.

Human complex exploration strategies are extended via noradrenaline-modulated heuristics

The paper shows humans use computationally cheap exploration strategies, with value-free random exploration controlled by noradrenaline.

Human noise blindness drives suboptimal cognitive inference

This study shows humans adapt near-optimally to sensory noise but exhibit suboptimal cognitive judgments under integration noise, captured by a Bayesian model blind to this noise.