Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

Perceptual decisions are better when they take uncertainty into account. Uncertainty arises
not only from the properties of sensory input but also from cognitive sources, such as …

Many decisions are thought to arise via the accumulation of noisy evidence to a threshold or
bound. In perception, the mechanism explains the effect of stimulus strength, characterized …

Humans are more likely to report perceiving an expected than an unexpected stimulus.
Influential theories have proposed that this bias arises from expectation altering the sensory …

Do we perceive fine details in the visual periphery? Here, we propose that phenomenology
in the visual periphery can be characterized by an inflated sense of perceptual capacity, as …

Contemporary vision benchmarks predominantly consider tasks on which humans can
achieve near-perfect performance. However, humans are frequently presented with visual …

Human peripheral vision appears vivid compared to foveal vision; the subjectively perceived
level of detail does not seem to drop abruptly with eccentricity. This compelling impression …

Bayesian cognitive science constructs detailed mathematical models of perception, motor
control, and many other psychological domains. The models postulate mental activity that …

Two prominent ideas in the study of decision making have been that organisms behave near-
optimally, and that they use simple heuristic rules. These principles might be operating in …

It is clear that prior expectations shape perceptual decision-making, yet their contribution to
the construction of subjective decision confidence remains largely unexplored. We recorded …