Unknown

Dataset Information

0

The known unknowns: neural representation of second-order uncertainty, and ambiguity.


ABSTRACT: Predictions provided by action-outcome probabilities entail a degree of (first-order) uncertainty. However, these probabilities themselves can be imprecise and embody second-order uncertainty. Tracking second-order uncertainty is important for optimal decision making and reinforcement learning. Previous functional magnetic resonance imaging investigations of second-order uncertainty in humans have drawn on an economic concept of ambiguity, where action-outcome associations in a gamble are either known (unambiguous) or completely unknown (ambiguous). Here, we relaxed the constraints associated with a purely categorical concept of ambiguity and varied the second-order uncertainty of gambles continuously, quantified as entropy over second-order probabilities. We show that second-order uncertainty influences decisions in a pessimistic way by biasing second-order probabilities, and that second-order uncertainty is negatively correlated with posterior cingulate cortex activity. The category of ambiguous (compared with nonambiguous) gambles also biased choice in a similar direction, but was associated with distinct activation of a posterior parietal cortical area; an activation that we show reflects a different computational mechanism. Our findings indicate that behavioral and neural responses to second-order uncertainty are distinct from those associated with ambiguity and may call for a reappraisal of previous data.

SUBMITTER: Bach DR 

PROVIDER: S-EPMC3166851 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

The known unknowns: neural representation of second-order uncertainty, and ambiguity.

Bach Dominik R DR   Hulme Oliver O   Penny William D WD   Dolan Raymond J RJ  

The Journal of neuroscience : the official journal of the Society for Neuroscience 20110301 13


Predictions provided by action-outcome probabilities entail a degree of (first-order) uncertainty. However, these probabilities themselves can be imprecise and embody second-order uncertainty. Tracking second-order uncertainty is important for optimal decision making and reinforcement learning. Previous functional magnetic resonance imaging investigations of second-order uncertainty in humans have drawn on an economic concept of ambiguity, where action-outcome associations in a gamble are either  ...[more]

Similar Datasets

| S-EPMC11289384 | biostudies-literature
| S-EPMC7237668 | biostudies-literature
| S-EPMC3867902 | biostudies-literature
| S-EPMC4885745 | biostudies-literature
| S-EPMC5913386 | biostudies-other
| S-EPMC9491594 | biostudies-literature
| S-EPMC6863487 | biostudies-literature
| S-EPMC5323096 | biostudies-literature
| S-EPMC8373042 | biostudies-literature
| S-EPMC6608954 | biostudies-literature