Abstract Models of gaze allocation in complex scenes are derived mainly from studies of
static picture viewing. The dominant framework to emerge has been image salience, where …

Rationality principles such as optimal feedback control and Bayesian inference underpin a
probabilistic framework that has accounted for a range of empirical phenomena in biological …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Statistical regularities in the environment create prior beliefs that we rely on to optimize our
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …

We use our sense of time to identify temporal relationships between events and to anticipate
actions. The degree to which we can exploit temporal contingencies depends on the …

Humans are good at performing visual tasks, but experimental measurements have
revealed substantial biases in the perception of basic visual attributes. An appealing …

Instrumental responses are hypothesized to be of two kinds: habitual and goal-directed,
mediated by the sensorimotor and the associative cortico-basal ganglia circuits …

How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …

Motor behavior may be viewed as a problem of maximizing the utility of movement outcome
in the face of sensory, motor and task uncertainty. Viewed in this way, and allowing for the …

Organisms must act in the face of sensory, motor, and reward uncertainty stemming from a
pandemonium of stochasticity and missing information. In many tasks, organisms can make …