Journal article
Advances in the computational understanding of mental illness
- Abstract:
-
Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering from mental illness. It encompasses both data-driven and theory-driven efforts. Here, recent advances in theory-driven work are reviewed. We argue that the brain is a computational organ. As such, an understanding of the illnesses arising from it will require a computational framework. The review divides work up i...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- Springer Nature Publisher's website
- Journal:
- Neuropsychopharmacology Journal website
- Volume:
- 46
- Pages:
- 3-19
- Publication date:
- 2020-07-03
- Acceptance date:
- 2020-06-15
- DOI:
- ISSN:
-
0893-133X
Item Description
- Language:
- English
- Pubs id:
-
1112380
- Local pid:
- pubs:1112380
- Deposit date:
- 2020-06-16
Terms of use
- Copyright holder:
- Huys et al.
- Copyright date:
- 2020
- Rights statement:
- © The Author(s), under exclusive licence to American College of Neuropsychopharmacology 2020
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Nature Research at https://doi.org/10.1038/s41386-020-0746-4
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