These languages provide a syntax for describing a Bayesian model, and generate a method for solving it using simulation.

For Bayesian model, the prior and likelihood generally represent the statistics of the environment and the sensory representations.

A wide range of studies interpret the results of psychophysical experiments in light of Bayesian perceptual models.

Simple Naïve Bayes model and hierarchical Bayesian models are discussed.

Moore used a Bayesian mathematical model to provide a quantitative account of perceptual conflict.

Bayesian models, often drawn from machine learning, are also gaining popularity.

It is true that in consistency a personalist could abandon the Bayesian model of learning from experience.

Perceptual prediction and postdiction are emergent properties of the Bayesian model.

Indeed, the same Bayesian model - characterized by the perceptual length contraction formula above - replicates both effects.

A simple Bayesian model of written text contains only the dictionary of legal words and their relative probabilities.