In the article “What are neural correlates neural correlates of?” published in the journal
BioSocieties, Gabriel Abend points out that neuroscientists cannot avoid philosophical …

The study of uncertainty in decision-making is receiving greater attention in the fields of
cognitive and computational neuroscience. Several lines of evidence are beginning to …

Due to the limitation of information and environmental factors, uncertainty widely exists in
various kinds of decision-making. Uncertainty refers to the degree of precision with which …

Uncertainty arises because of ignorance or the absence of information in any situation.
Probability, risk, and randomness are concepts closely related to uncertainty that …

In our everyday life we often have to make decisions with uncertain consequences, for
instance in the context of investment decisions. To successfully cope with these situations …

How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …

Risk and uncertainty are central concepts of decision neuroscience. However, a
comprehensive review of the literature shows that most studies define risk and uncertainty in …

This chapter provides an overview of studies in the field of neuroscience that investigate
some of the processes and concepts of risk perception, risky choice, and decision making …

Many decisions involve uncertainty, or imperfect knowledge about how choices lead to
outcomes. Colloquial notions of uncertainty, particularly when describing a decision as' …

In this study, we examined the neural basis of decision making under different types of
uncertainty that involve missing information: ambiguity (vague probabilities) and sample …