Uncertainty in perception and the Hierarchical Gaussian Filter

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 with th...

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Bibliographic Details
Main Authors: Christoph Daniel Mathys, Ekaterina I Lomakina, Jean eDaunizeau, Sandra eIglesias, Kay Henning Brodersen, Karl J Friston, Klaas Enno Stephan
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Human Neuroscience
Subjects:
Learning
decision-making
free energy
uncertainty
volatility
Bayesian inference
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00825/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00825/full

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