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

The Bayesian brain hypothesis is one of the most influential ideas in neuroscience.
However, unstated differences in how Bayesian ideas are operationalized make it difficult to …

Humans are immensely curious and motivated to reduce uncertainty, but little is known
about the neural mechanisms that generate curiosity. Curiosity is inversely associated with …

Complex auditory scenes pose a challenge to attentive listening, rendering listeners slower
and more uncertain in their perceptual decisions. How can we explain such behaviors from …

Learning in a stochastic and changing environment is a difficult task. Models of learning
typically postulate that observations that deviate from the learned predictions are surprising …

When making adaptive decisions, we actively demand information, but relatively little is
known about the mechanisms of active information gathering. An open question is how the …

Subjective confidence and uncertainty are closely related to cognition and behavior.
However, direct evidence that subjective confidence controls attention allocation is lacking …

Beliefs—attitudes toward some state of the environment—guide action selection and should
be robust to variability but sensitive to meaningful change. Beliefs about volatility …

Abstract Machine learning research has achieved large performance gains on a wide range
of tasks by expanding the learning target from mean rewards to entire probability …

Artificial Intelligence (AI) plays an increasingly integral role in decision-making processes. In
order to foster trust in AI predictions, many approaches towards explainable AI (XAI) have …