Unlabelled: Noise is a fundamental problem for information processing in neural systems. In decision-making, noise is thought to cause stochastic errors in choice. However, little is known about how noise arising from different sources may contribute differently to value coding and choice behaviors.
View Article and Find Full Text PDFDecisions under uncertainty are prevalent, but come under two distinct types. Risk, which has unknown outcomes but known probabilities for those outcomes and ambiguity which contains both unknown outcomes and unknown probabilities. Although there have been several studies linking affect and aversion to ambiguity, there have been no studies that have to identify how changing one's affective response can change their choices.
View Article and Find Full Text PDF