Jump to ContentJump to Main Navigation
Biological Learning and ControlHow the Brain Builds Representations, Predicts Events, and Makes Decisions$
Users without a subscription are not able to see the full content.

Reza Shadmehr and Sandro Mussa-Ivaldi

Print publication date: 2012

Print ISBN-13: 9780262016964

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262016964.001.0001

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2017. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use (for details see http://www.mitpress.universitypressscholarship.com/page/privacy-policy).date: 17 December 2017

Learning to Make Accurate Predictions

Learning to Make Accurate Predictions

Chapter:
(p.177) 6 Learning to Make Accurate Predictions
Source:
Biological Learning and Control
Author(s):

Reza Shadmehr

Sandro Mussa-Ivaldi

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262016964.003.0007

This chapter considers some very simple learning problems to make accurate predictions. It reviews the least mean squared (LMS) algorithm. It shows that internal model is simply a link between motor commands and their sensory consequences. The driving force in learning an internal model is the sensory prediction error. This chapter also reveals that when motor commands are generated, perturbations like force fields or visuomotor rotations produce discrepancies between the predicted and observed sensory consequences. It illustrates that in some forms of biological learning, as in backward blocking, animals seem to learn in a way that resembles the Bayesian method and not LMS.

Keywords:   least mean squared algorithm, internal model, biological learning, sensory prediction error, motor commands, sensory consequences, backward blocking, Bayesian method

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.