Christian Carl Ruff

This study investigates dyscalculia by analyzing computational models of behavior and parietal cortex in adolescents, finding both domain-specific and domain-general deficits.

The paper shows that rapid changes in risk attitudes arise from Bayesian inference on noisy magnitude representations in the parietal cortex, using fMRI and computational modeling.

The paper explains nonlinearities in multi-attribute decision making through resource-rational compression of value differences, supported by empirical tests on estimation tasks and existing datasets.

The paper investigates how efficient coding operates in perception and valuation stages of goal-directed behavior, finding that both stages use separate efficient codes that interact to shape behavior.

The paper identifies temporally structured neural dynamics underlying strategic social decisions using EEG and computational modeling of belief and value computations.

The paper investigates the neural code for value in the human orbitofrontal cortex and finds that a probabilistic, non-linear population code represents both value and its uncertainty.

This study shows that the left superior frontal sulcus selectively affects perceptual decision-making but not value-based decisions using fMRI, TMS, and computational models.

The paper identifies distinct neurocomputational mechanisms for multisensory learning using a novel task and fMRI, showing dissociable networks for statistical learning, reinforcement learning, and outcome surprise.

This study shows that subjective value signals in the brain's valuation circuits can be computed without conscious awareness of the stimuli.

This study examines the long-term effects of prenatal exposure to WWII air raids on adult brain structure, cognition, and health using a large dataset and genetic analysis.

This paper shows acute stress reduces risk-aversion by altering magnitude perception, as evidenced by behavioral and neural changes in payoff valuation.

This study examines age-related changes in multisensory learning using behavioral, neuroimaging, and computational methods in children, finding faster processing and stronger neural engagement in older children.

This study shows that human parietal cortex dynamically recalibrates number representations based on context, improving behavioral accuracy through distributed range adaptation.

The paper shows probability weighting arises from cognitive noise repelled by probability boundaries, confirmed through experiments on risky choice and perception.

This study shows that parietal magnitude representations causally influence risk preferences by increasing noise in small-magnitude encoding, leading to more risk-seeking behavior.

This paper enhances altruism using tACS to increase frontoparietal gamma-band phase coupling during disadvantageous inequality.

The paper investigates the function of the social brain network by testing whether it integrates information into salient configurations in both social and non-social contexts.

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

The paper provides evidence that distributive justice decisions are guided by three prosocial motives that interact and influence behavior through distinct neural systems.

The paper shows that individual risk aversion in financial decisions stems from noisy perception of numerical magnitudes rather than subjective valuation.

The paper examines how socioeconomic status (SES) influences brain anatomy, identifying both genetic and environmental contributions to grey matter volume across different brain regions.

This study inhibits inferior frontal cortex activity during affective speech processing and finds it improves decision speed and accuracy for clear speech while reducing cortical activity and increasing fronto-limbic connectivity.

This study shows that inhibiting the right frontal eye field (FEF) with TMS affects decision-making by altering how gaze dwell time influences choices and reaction times.

This study challenges the common-currency hypothesis by showing distinct neural representations for moral and financial values in specific brain regions.

This study shows that transcranial theta-burst stimulation of primary sensory cortex reduces threat memory in humans, with no difference between simple and complex stimuli.

The paper links genetic risk for risky behavior to reduced grey matter volume in specific brain regions using neuroimaging and polygenic risk scores.

This study investigates how the timing and weighting of reward attributes influence decision-making using a time-varying drift diffusion model and experimental data.

The paper shows that pupil dilation and dmPFC activity predict anticipated effort levels in human decision-making, supporting anticipatory energization as a mechanism for effort-based choices.

This study shows that effective cognitive therapy for PTSD restores balance in brain networks involved in self-referential processing and threat detection.

This study investigates shared neural mechanisms between imagined and perceived egocentric motion using GVS and fMRI, finding overlap in brain areas involved in vestibular processing and mental rotation.