Locomotion produces full-field optic flow that often dominates the visual motion inputs to an
observer. The perception of optic flow is in turn important for animals to guide their heading …

Computing behaviorally relevant representations of three-dimensional (3D) motion from two-
dimensional (2D) retinal signals is critical for survival. To ascertain where and how the …

A central question in neuroscience is how sensory inputs are transformed into percepts. At
this point, it is clear that this process is strongly influenced by prior knowledge of the sensory …

Estimating the motion of objects in depth is important for behavior and is strongly supported
by binocular visual cues. To understand both how the brain should estimate motion in depth …

Animals benefit from knowing if and how they are moving. Across the animal kingdom,
sensory information in the form of optic flow over the visual field is used to estimate self …

Sensory signals give rise to patterns of neural activity, which the brain uses to infer
properties of the environment. For the visual system, considerable work has focused on the …

Bayesian inference provides an elegant theoretical framework for understanding the
characteristic biases and discrimination thresholds in visual speed perception. However, the …

Decisions across a range of perceptual tasks are biased toward past stimuli. Such serial
dependence is thought to be an adaptive low-level mechanism that promotes perceptual …

Bivariate normal distributions are often used to describe the joint probability density of a pair
of random variables. These distributions arise across many domains, from …

In this article we present a temporal extension of the slow motion prior model to generate
predictions regarding the temporal evolution of the contrast induced speed bias. We further …