Sequential sampling decision-making models have been successful in accounting for
reaction time (RT) and accuracy data in two-alternative forced choice tasks. These models …

Inpsychophysics, researchers usually apply a two-level model for the analysis of the
behavior of the single subject and the population. This classical model has two main …

Most functional magnetic resonance imaging (fMRI) experiments record the brain's
responses to samples of stimulus materials (eg, faces or words). Yet the statistical modeling …

Biases such as the preference of a particular response for no obvious reason, are an
integral part of psychophysics. Such biases have been reported in the common two …

The problem of model selection with a limited number of experimental trials has received
considerable attention in cognitive science, where the role of experiments is to discriminate …

Abstract The Visual Evoked Potential (VEP) has been used by a number of investigators for
non-invasive assessment of the development of visual acuity in human infants. In all these …

Decision-making is often interpreted in terms of normative computations that maximize a
particular reward function for stable, average behaviors. Aberrations from the reward …

One major challenge in the sensory sciences is to identify the stimulus features on which
sensory systems base their computations, and which are predictive of a behavioral decision …

Recent advancements in Bayesian modeling have allowed for likelihood-free posterior
estimation. Such estimation techniques are crucial to the understanding of simulation-based …

In many laboratory visuo-motor decision tasks, subjects compensate for their own visuo-
motor error, earning close to the maximum reward possible. To do so, they must combine …