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Thesis

Computational dissection of schizotypy: differential contingency weighting

Abstract:

Schizotypy is a personality dimension related to psychotic experience, i.e., alteration of beliefs and sensory experiences, also is a liability for schizophrenia. In this dissertation I focus on schizotypy and its relationship with perceptual, learning, and agency. I employed computational models, and Contingency Learning Theory as a general framework, to develop novel behavioural tasks used to dissect cognitive features of schizotypy measured in the general population.

I studied t...

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Division:
MSD
Department:
Experimental Psychology
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Supervisor
ORCID:
0000-0001-9108-3144
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Supervisor
ORCID:
0000-0002-8763-5062
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Examiner
ORCID:
0000-0002-8393-8533
Role:
Examiner
More from this funder
Name:
Universidad de Guadalajara
Funder identifier:
http://dx.doi.org/10.13039/100016991
Funding agency for:
Murphy, R
Hunt, L
Browning, M
Haselgrove, M
Grant:
V/2018/1476; V/2021/989
Programme:
Beca Institucional de la Universidad de Guadalajara
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
DOI:

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