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The Anatomy of BiasHow Neural Circuits Weigh the Options$
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Jan Lauwereyns

Print publication date: 2010

Print ISBN-13: 9780262123105

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262123105.001.0001

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Bayes and Bias

Bayes and Bias

Chapter:
(p.1) 1 Bayes and Bias
Source:
The Anatomy of Bias
Author(s):

Jan Lauwereyns

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262123105.003.0002

This chapter develops the concept of bias based on notions from Bayesian probability, signal detection theory, and current neural models of decision making. The term “bias” relates to inconsistent treatment given to different information gathered from various sources based on preferences, prejudices, or other forms of selective processing. The aim is to interpret the computational properties of bias into easily identifiable neural signatures. Neural signatures are presented by means of concrete examples from the experimental literature. The chapter also analyses the types of experimental paradigms that provide relevant data.

Keywords:   verses, speech, interaction, cognitive processes, mental models

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