Determining the psychological, computational, and neural bases of confidence and
uncertainty holds promise for understanding foundational aspects of human metacognition …

Many accounts of reward-based choice argue for distinct component processes that are
serial and functionally localized. In this Opinion article, we argue for an alternative viewpoint …

Machine learning is a means to derive artificial intelligence by discovering patterns in
existing data. Here, we show that applying machine learning to ordinary human language …

Background Distortions in metacognition—the ability to reflect on and control other cognitive
processes—are thought to be characteristic of poor mental health. However, it remains …

Metacognition is the capacity to evaluate the success of one's own cognitive processes in
various domains; for example, memory and perception. It remains controversial whether …

There is currently little direct evidence regarding the function of subjective confidence in
decision making: The tight correlation between objective accuracy and subjective …

Decisions vary in difficulty. Humans know this and typically report more confidence in easy
than in difficult decisions. However, confidence reports do not perfectly track decision …

The metacognitive ability to introspect about self-performance varies substantially across
individuals. Given that effective monitoring of performance is deemed important for effective …

Performance monitoring is a key cognitive function, allowing to detect mistakes and adapt
future behavior. Post-decisional neural signals have been identified that are sensitive to …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …