Computational psychiatry
By P. R. Montague, R. J. Dolan, Karl J. Friston, Peter S. Dayan. Trends in Cognitive Sciences, 2011
912 citations recorded by the source corpus.
Computational ideas pervade many areas of science and have an integrative explanatory role in neuroscience and cognitive science. However, computational depictions of cognitive function have had surprisingly little impact on the way we assess mental illness because diseases of the mind have not been systematically conceptualized in computational terms. Here, we outline goals and nascent efforts in the new field of computational psychiatry, which seeks to characterize mental dysfunction in terms of aberrant computations over multiple scales. We highlight early efforts in this area that employ reinforcement learning and game theoretic frameworks to elucidate decision-making in health and disease. Looking forwards, we emphasize a need for theory development and large-scale computational phenotyping in human subjects.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/4eed3a5007ca2e6c43035c35eda2adb9a3dce905
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Morten L. Kringelbach
- Gustavo Deco
- E. T. Rolls
- Kent C. Berridge
- Viktor Jirsa
- Olaf Sporns
- Michael Breakspear
- Fabian Grabenhorst
In Experimental and Cognitive Psychology
Citations in the corpus
- Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “In recent years, the advances in neuroimaging, genomics and computational modelling have raised great expectations for such a stratified psychiatry (Maia and Frank, 2011; Montague et al., 2012; Stephan et al., 2006).”