Hierarchical Gaussian Filter (HGF) model of conditioned hallucinations task (Powers et al 2017)

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Accession:229278
This is an instantiation of the Hierarchical Gaussian Filter (HGF) model for use with the Conditioned Hallucinations Task.
Reference:
1 . Powers AR III, Mathys CH, Corlett PR (2017) Pavlovian conditioning-induced hallucinations result from overweighting of perceptual priors Science 357(6351):20596-600 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
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Simulation Environment: MATLAB;
Model Concept(s): Hallucinations;
Implementer(s): Powers, Al [albert.powers at yale.edu]; Mathys, Chris H ;
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HGF
analysis
data
readme.txt
                            
This is the readme for the models and data associated with the paper:

Powers AR III, Mathys CH, Corlett PR (2017) Pavlovian
conditioning-induced hallucinations result from overweighting of
perceptual priors. Science, in press.

These files were contributed by Albert Powers.

Example runs will be provided after the paper is out.

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