Modules for Automated Validation and Comparison of Models of Neurophysiological and Neurocognitive Biomarkers of Psychiatric Disorders: ASSRUnit - A Case Study Computational Psychiatry
- Submitting institution
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University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13603741
- Type
- D - Journal article
- DOI
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10.1162/cpsy_a_00015
- Title of journal
- Computational Psychiatry
- Article number
- -
- First page
- 74
- Volume
- 2
- Issue
- -
- ISSN
- 2379-6227
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- 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
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3
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Research involving an ongoing collaboration with the University of Oslo and the University of Luebeck. It describes a computational methodology that is completely new to the field of psychiatry and provides a software package for automated comparisons between computational models and experimental observations. The framework can contribute in a major way to statistical rigour in the field of psychiatry and facilitate the validation of theories and models against empirical evidence. It has elicited a lively response on social media, with tweets from five different countries (https://mitpress.altmetric.com/details/45482406) and inspired work that was subsequently published in Scientific Reports (https://www.nature.com/articles/s41598-019-53682-5).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -