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Biological Learning and ControlHow the Brain Builds Representations, Predicts Events, and Makes Decisions$
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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

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Bayesian Estimation and Inference

Bayesian Estimation and Inference

Chapter:
(p.143) 5 Bayesian Estimation and Inference
Source:
Biological Learning and Control
Author(s):

Reza Shadmehr

Sandro Mussa-Ivaldi

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262016964.003.0006

This chapter addresses the problem of learning, and illustrates that when animals learn, they too appear to keep a measure of uncertainty about their estimates, and this uncertainty is a reflection of the history of the stimuli that they observed. It suggests that the brain combines information from various sensors if the sensors are reporting the consequences of a common event. This chapter shows that brain relies on prior experience to make predictions. It demonstrates that the motor system never believes that the small object weighs more than the larger one. It also mentions that Bayesian algorithms can solve the estimation problem.

Keywords:   learning, brain, prior experience, motor system, Bayesian algorithms, estimation problem

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