Acquisition of visual priors and induced hallucinations in chronic schizophrenia
- Submitting institution
-
University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 173443328
- Type
- D - Journal article
- DOI
-
10.1093/brain/awz171
- Title of journal
- Brain
- Article number
- -
- First page
- 2523
- Volume
- 142
- Issue
- 8
- ISSN
- 0006-8950
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
B - Data Science and Artificial Intelligence
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work resulted from our collaboration with the Royal Edinburgh hospital. It is published in a very prestigious neuroscience journal. Using behavioural experiments and a computational approach, it quantitatively tests leading hypotheses in schizophrenia research: that Bayesian inference and predictive coding are impaired in the disorder. We find that statistical learning is intact in patients. However, we find subtle differences in how the statistical environment (patients' expectations) influence patients' perception.This presents a significant advance on current theories, nuancing previous findings. It also offers new methodological ways to advance this research, which we will further build on using fMRI.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -