Perception is often described as probabilistic inference requiring an internal representation
of uncertainty. However, it is unknown whether uncertainty is represented in a task …

Neural responses in the visual cortex are variable, and there is now an abundance of data
characterizing how the magnitude and structure of this variability depends on the stimulus …

People's decisions and judgments are disproportionately swayed by improbable but
extreme eventualities, such as terrorism, that come to mind easily. This article explores …

The idea that visual coding and perception are shaped by experience and adjust to changes
in the environment or the observer is universally recognized as a cornerstone of visual …

Normative models of decision-making that optimally transform noisy (sensory) information
into categorical decisions qualitatively mismatch human behavior. Indeed, leading …

Bad decisions can have devastating consequences, and there is a vast body of literature
suggesting that human judgment and decision-making are riddled with numerous systematic …

Perceptual decision-making has been extensively modeled using the ideal observer
framework. However, a range of deviations from optimality demand an extension of this …

Perception has been extensively modeled under the Bayesian brain framework where the
goal of perception is to infer the latent causes in the brain's generative model of its …

In my thesis, I investigate human semi-supervised learning (SSL), the ability to learn
simultaneously from labelled and unlabelled data with high efficiency. I argue that the …