Paranoia as a deficit in non-social belief updating (Reed et al 2020)

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Accession:258631
Model fit to human and rodent data showing effects of paranoia and methamphetamine on behavior and model parameters.
Reference:
1 . Reed EJ, Uddenberg S, Suthaharan P, Mathys CD, Taylor JR, Groman SM, Corlett PR (2020) Paranoia as a deficit in non-social belief updating. Elife [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Multilayer Hierarchical Gaussian filter (HGF);
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: R;
Model Concept(s): Paranoia;
Implementer(s): 
Directory for paranoia as a deficit in non-social belief updating

Reed EJ, Uddenberg S, Suthaharan P, Mathys CD, Taylor JR, Groman SM, Corlett PR (2020) 

*Email: philip.corlett@yale.edu

Model fit to human and rodent data showing effects of paranoia and methamphetamine on behavior and model parameters

The .xlsx files contain clinical data for the three groups - online (MTurk), in-lab (IRL), and rat.

The .mat files contain the behavioral task data used as input into the HGF model fit

MATERIALS

The Hierarchical Gaussian Filter (HGF) toolbox v5.3.1 is freely available for download in the TAPAS package at https://translationalneuromodeling.github.io/tapas. We installed and ran the package in MATLAB and Statistics Toolbox Release 2016a (MathWorks, Natick, MA).

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