Uri Hertz

The paper uses a virtual reality task to measure implicit metacognition and finds preserved metacognitive sensitivity in psychosis risk individuals compared to first-episode psychosis.

This study investigates the Sense of Reality through virtual reality simulations, finding that it varies with hallucination magnitude and is linked to physiological responses and a computational model comparing sensory input to an internal world model.

This study investigates post-decision gaze as an implicit measure of decision confidence, finding it correlates with explicit confidence judgments and exhibits distinct functional characteristics.

This paper trains a deep neural network to predict human decisions in a value-based task and uses cognitive models to explain the model's behavior, revealing task-irrelevant decision patterns.

This study uses fMRI and reinforcement learning models to show that the brain represents preference similarity through a consistency account, focusing on individual-specific behavior patterns.

This paper investigates how outcome variance affects decision-making and confidence in uncertain value-based choices, proposing a stochastic satisficing model to explain confidence ratings.

The paper shows advisers strategically modulate their confidence based on their influence level and relative merit, with distinct brain regions tracking these factors and influencing behavior.

This paper introduces tDCA, a method for detecting large-scale functional cortical networks from fMRI data, showing it reliably identifies network structures and their dependencies under varying experimental conditions.