Jump to ContentJump to Main Navigation
The Predictive Mind$
Users without a subscription are not able to see the full content.

Jakob Hohwy

Print publication date: 2013

Print ISBN-13: 9780199682737

Published to Oxford Scholarship Online: January 2014

DOI: 10.1093/acprof:oso/9780199682737.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 26 January 2021

Prediction error minimization

Prediction error minimization

(p.41) 2 Prediction error minimization
The Predictive Mind

Jakob Hohwy

Oxford University Press

The central mechanism for hierarchical perceptual inference is prediction on the basis of internal, generative models, revision of model parameters, and minimization of prediction error. This is the way in which the brain engages in perceptual inference, as described in the previous chapter. This chapter describes this idea in detail. It uses a statistical analogy of model fitting to explain the notion of prediction error and then gradually builds up more and more complex versions of the theory, ending with broad ideas from information theory and statistical physics concerning mutual information, free energy and surprisal. The overall picture is of a self-supervised system that is closely supervised by the sensory signal it receives from the world, but which is hidden behind the veil of sensory input. This is a profound reversal of the way we normally think about the top-down and bottom-up signals in the brain. The system is able to recognize the causes of its sensory input in a mechanistic manner, by implicitly inverting its generative model.

Keywords:   prediction error minimization, model fitting, self-supervision, free energy, surprisal, mutual information, top-down, bottom-up, mind-world relation, model inversion

Oxford 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 .