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The Predictive Mind$
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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

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Prediction error, context, and precision

Prediction error, context, and precision

Chapter:
(p.59) 3 Prediction error, context, and precision
Source:
The Predictive Mind
Author(s):

Jakob Hohwy

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199682737.003.0004

If perception is a matter of prediction error minimization, then the mechanism must have resources to deal with the fact that the noise and uncertainty is state-dependent. That is, the prediction error minimization mechanism must be able to learn and evaluate the levels of uncertainty in the different contexts it finds itself in — it must engage in second order statistics. This chapter describes this key ingredient of prediction error minimization in terms of expected precisions of prediction error. It also discusses other issues pertaining to context-dependence; in particular, cases of non-linear interaction between causes (such as occlusion) are discussed. This gives a richer account of the statistical inference that is needed for perception to be possible. The chapter ends with a presentation of issues that arise now that a more full description of the mechanism is available; these issues will inform discussion in later chapters.

Keywords:   expected precision, state-dependent noise, second order statistics, context-dependence, non-linear interaction

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