A Probability Primer
A Probability Primer
This chapter introduces the Bayesian theorem of probability, highlights its importance in our understanding of how the brain processes information, and also discusses probability distribution and density and the Kullback-Leibler divergence for measuring the difference of probability distributions. It furthermore considers how the Bayesian theorem is useful in the process of perception or perceptual inference.
Keywords: Bayesian theorem, probability, probability distribution, density, Kullback-Leibler divergence, perception, perceptual inference
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.