Uncertainty in perception and the Hierarchical Gaussian Filter

In its full sense, perception rests on an agent's model of how its sensory input comes about and the inferences it draws based on this model. These inferences are necessarily uncertain. Here, we illustrate how the Hierarchical Gaussian Filter (HGF) offers a principled and generic way to deal wi...

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Bibliographic Details
Published in:	Frontiers in human neuroscience Vol. 8; p. 825
Main Authors:	Mathys, Christoph D., Lomakina, Ekaterina I., Daunizeau, Jean, Iglesias, Sandra, Brodersen, Kay H., Friston, Karl J., Stephan, Klaas E.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Research Foundation 19.11.2014 Frontiers Media S.A
Subjects:	Bayesian analysis Bayesian inference Brain research decision-making Free energy Hypotheses Learning Mathematical models Neuroscience Perception Theory uncertainty volatility United Kingdom > UK Switzerland free energy decision-making hierarchical modeling learning volatility Bayesian inference uncertainty filtering
ISSN:	1662-5161, 1662-5161
Online Access:	Get full text
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