Kobe Desender

This study shows that trial-to-trial fluctuations in decision criterion can explain sequential effects in decision making, challenging the assumption that these effects are caused by updates to decision parameters.

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

The paper shows that trial-by-trial changes in decision criteria affect confidence in human decision-making across multiple datasets and measures.

The paper investigates whether neural signals reflect confidence or accumulated evidence, finding that they track evidence rather than confidence directly.

This paper introduces hMFC, a Bayesian model to estimate slow decision criterion fluctuations from limited data, showing it improves accuracy over stable criterion assumptions.

This study examines how metacognitive experiences like boredom and frustration evolve over time during a task and relate to cognitive processes that optimize performance.

The paper develops a model showing that choice and confidence reports share a single evidence accumulation process with separate boundaries.

The paper shows that decision confidence and outcome variability separately regulate hyperparameter settings in reinforcement learning tasks, optimizing exploration and value learning at different times.

The paper shows that manipulating prior beliefs about task performance affects confidence levels in perceptual decisions without changing actual performance.

The paper introduces a new computational model for confidence judgments, showing it better explains speed-accuracy tradeoffs in decision-making than existing models.

The paper examines how response caution affects metacognitive efficiency, showing that static measures like M-ratio are influenced by speed-accuracy tradeoffs, while a dynamic measure, v-ratio, is not.

This study shows theta oscillations adjust their peak frequency to optimize cognitive control during tasks.

The paper investigates brain circuits involved in metacognitive awareness of difficulty during action selection, finding increased activity in the rostral cingulate zone and anterior insula during subjective difficulty ratings.

This paper combines evidence accumulation models with confidence reporting to show that confidence dynamics depend on time and evidence strength.

This study investigates how temporal expectations affect perceptual decision-making by manipulating cue timing and analyzing behavioral and neural data.

The paper shows that decision confidence influences the speed-accuracy tradeoff in subsequent decisions by adjusting decision bounds based on previous confidence reports.

The paper shows that neural markers of confidence, specifically post-decisional ERP components, predict information-seeking behavior in humans.