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    Bayesian Models of Perception, Cognition and Learning

    Difficulty level
    Beginner
    Speaker
    Type
    Duration
    1:33:34

    This lecture describes Bayesian memory and learning; how to go from observations to latent variables.

    Topics covered in this lesson
    • Bayes' rule, loss functions (i.e.,utility functions)
    • Posterior mean and median, maximum a posteriori (MAP)
    • Perception and likelihood ratio
    • Bayesian estimation motor task, different strategies
    • Combining priors and likelihood, different priors
    Prerequisites
    • Basic probablity theory