The brain has been theorized to employ inferential processes to overcome the problem of uncertainty. Inference is thought to underlie neural processes, including in disparate domains such as value-based decision-making and perception. Value-based decision-making commonly involves deliberation, a time-consuming process that requires conscious consideration of decision variables. Perception, by contrast, is thought to be automatic and effortless. Both processes may call on a general neural system to resolve for uncertainty however. We addressed this question by directly comparing uncertainty signals in visual perception and an economic task using fMRI. We presented the same individuals with different versions of a bi-stable figure (Necker's c...
Adaptive decision making critically depends on agents’ ability to reduce uncertainty. To reduce unce...
Humans face a daily variety of decision-making challenges in distinct aspects of life [1]. Most of t...
Many everyday life predictions rely on the experience and memory of event frequencies, i.e., natural...
From the moment we wake up in the morning to the day's ebb when we settle in to sleep, we are bound ...
Perceptual judgments are frequently made during uncertain situations. Previous human brain imaging s...
Perceptual judgments are frequently made during uncertain situations. Previous human brain imaging s...
The acknowledged importance of uncertainty in economic decision making has stimulated the search for...
SummaryUncertainty is an inherent property of the environment and a central feature of models of dec...
Uncertainty presents a problem for both human and machine decision-making. While utility maximizatio...
SummaryPeople often prefer the known over the unknown, sometimes sacrificing potential rewards for t...
This study examined neural anticipation of monetary reward in pathological gamblers (PG) by varying ...
Perceptual decisions often involve integrating evidence from multiple concurrently available sources...
Risk and ambiguity are inherent in virtually all human decision-making. Risk refers to a situation i...
In our daily life, it is very common to make decisions in uncertain situations. The Iowa Gambling Ta...
International audiencePerceptual decisions often involve integrating evidence from multiple concurre...
Adaptive decision making critically depends on agents’ ability to reduce uncertainty. To reduce unce...
Humans face a daily variety of decision-making challenges in distinct aspects of life [1]. Most of t...
Many everyday life predictions rely on the experience and memory of event frequencies, i.e., natural...
From the moment we wake up in the morning to the day's ebb when we settle in to sleep, we are bound ...
Perceptual judgments are frequently made during uncertain situations. Previous human brain imaging s...
Perceptual judgments are frequently made during uncertain situations. Previous human brain imaging s...
The acknowledged importance of uncertainty in economic decision making has stimulated the search for...
SummaryUncertainty is an inherent property of the environment and a central feature of models of dec...
Uncertainty presents a problem for both human and machine decision-making. While utility maximizatio...
SummaryPeople often prefer the known over the unknown, sometimes sacrificing potential rewards for t...
This study examined neural anticipation of monetary reward in pathological gamblers (PG) by varying ...
Perceptual decisions often involve integrating evidence from multiple concurrently available sources...
Risk and ambiguity are inherent in virtually all human decision-making. Risk refers to a situation i...
In our daily life, it is very common to make decisions in uncertain situations. The Iowa Gambling Ta...
International audiencePerceptual decisions often involve integrating evidence from multiple concurre...
Adaptive decision making critically depends on agents’ ability to reduce uncertainty. To reduce unce...
Humans face a daily variety of decision-making challenges in distinct aspects of life [1]. Most of t...
Many everyday life predictions rely on the experience and memory of event frequencies, i.e., natural...