The term visual adaptation describes the processes by which the visual system alters its
operating properties in response to changes in the environment. These continual adjustments in …

Human visual speed perception is qualitatively consistent with a Bayesian observer that
optimally combines noisy measurements with a prior preference for lower speeds. Quantitative …

The right decision today may be the wrong decision tomorrow. We live in a world in which
expectations, contingencies, and goals continually evolve and change. Thus, decisions do not …

… & Stocker, AA Bayesian inference with efficient neural population codes. in Artificial Neural
Networks and Machine Learning–ICANN 2012 (eds. Villa, A., Duch, W., Erdi, P., Masulli, F. …

The visual system is tasked with extracting stimulus content (eg the identity of an object)
from the spatiotemporal light pattern falling on the retina. However, visual information can be …

We extend a previously developed Bayesian framework for perception to account for sensory
adaptation. We first note that the perceptual effects of adaptation seems inconsistent with …

… XX Wei, AA Stocker, Efficient coding provides a direct link between prior and likelihood in
perceptual Bayesian inference. Advances in Neural Information Processing Systems NIPS 25 (…

Neural activity and perception are both affected by sensory history. The work presented
here explores the relationship between the physiological effects of adaptation and their …

We propose an extended probabilistic model for human perception. We argue that in many
circumstances, human observers simultaneously evaluate sensory evidence under different …

A common challenge for Bayesian models of perception is the fact that the two fundamental
Bayesian components, the prior distribution and the likelihood function, are formally …