Computational psychiatry is a heterogeneous field at the intersection of computational neuroscience and psychiatry. Incorporating methods from psychiatry, psychology, neuroscience, behavioral economics, and machine learning, computational psychiatry focuses on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. The models span a wide range – from biologically detailed models of neurons or networks to abstract models describing high-level cognitive abilities of an organism. Psychiatric diseases are conceptualized either as an extreme of normal function or as a consequence of alterations in parts of the model.
As in computational neuroscience more generally, the building of models forces key concepts to be made concrete and hidden assumptions to be made explicit. One critical function of these models in the setting of psychiatry is their ability to bridge between low-level biological and high-level cognitive features. While many...
KeywordsAutistic Spectrum Disorder Borderline Personality Disorder Reinforcement Learning Psychiatric Disease Borderline Personality Disorder
I thank Dominik Bach, Kay H. Brodersen, Anthony Cruickshank, Peter Dayan, Marc Guitart-Masip, Helene Haker, Gregor Hasler, Falk Lieder, Tiago Maia, John Milton, Michael Moutoussis, Peggy Seriès, and Klaas Enno Stephan for informative comments and discussions on an earlier version of this contribution.
- Camerer CF (2003) Behavioral game theory: experiments in strategic interaction. Princeton University Press, PrincetonGoogle Scholar
- Gelder M, Harrison P, Cowen P (2006) Shorter Oxford textbook of psychiatry. Oxford University Press, OxfordGoogle Scholar
- Juckel G, Schlagenhauf F, Koslowski M, Filonov D, Wstenberg T, Villringer A, Knutson B, Kienast T, Gallinat J, Wrase J, Heinz A (2006) Dysfunction of ventral striatal reward prediction in schizophrenic patients treated with typical, not atypical, neuroleptics. Psychopharmacology (Berl) 187(2):222–228CrossRefGoogle Scholar
- Lieder F, Goodman N, Huys QJM (2013) Learned helplessness and generalization. Proc Annu Conf Cognit Sci SocGoogle Scholar
- Marr D (1982) Vision. Freeman, New YorkGoogle Scholar
- McClelland J, Rumelhart D, Hinton GE (1986) Parallel distributed processing. MIT Press, Cambridge, MAGoogle Scholar
- Ray D, King-Casas B, Montague PR, Dayan P (2009) Bayesian model of behaviour in economic games. In: Koller D, Schuurmans D, Bengio Y, Bottou L (eds) Advances in neural information processing systems 21. Proceedings of the twenty-second annual conference on neural information processing systems, Vancouver. Curran Associates, New York, pp 1345–1352Google Scholar
- Sutton RS, Barto AG (1998) Reinforcement learning: an introduction. MIT Press, Cambridge, MAGoogle Scholar