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dc.contributor.author
Aponte, Eduardo A.
dc.contributor.supervisor
Stephan, Klaas Enno
dc.contributor.supervisor
König, Peter
dc.contributor.supervisor
Heinzle, Jakob
dc.date.accessioned
2018-07-06T10:34:45Z
dc.date.available
2018-07-06T08:37:10Z
dc.date.available
2018-07-06T10:34:45Z
dc.date.issued
2018
dc.identifier.uri
http://hdl.handle.net/20.500.11850/274211
dc.identifier.doi
10.3929/ethz-b-000274211
dc.description.abstract
Computational psychiatry is a novel field devoted to improving the understanding and treatment of psychiatric disorders through quantitative methods. A significant part of this endeavour is the formulation and evaluation of models that describe relevant physiological and cognitive processes. In this dissertation, we aim to contribute to this field in two manners. First, we present and evaluate methods for model selection with an emphasis on models of brain connectivity. Our main contribution is to implement and extend thermodynamic integration, a method that has not been used in computational neuroscience in the past. Second, we develop statistical models of eye movements in two paradigms that are relevant for psychiatric research: the double step and the antisaccade task. The models developed here are probabilistic in nature and therefore we use the methods presented in the first section to solve several empirical questions related to learning, inhibitory control, and rule guided behavior in the oculomotor system.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Translational methods and models for computational psychiatry
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
372 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::570 - Life sciences
en_US
ethz.identifier.diss
25090
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03955 - Stephan, Klaas E. / Stephan, Klaas E.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03955 - Stephan, Klaas E. / Stephan, Klaas E.
en_US
ethz.date.deposited
2018-07-06T08:37:22Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-07-06T10:35:15Z
ethz.rosetta.lastUpdated
2019-02-03T03:50:07Z
ethz.rosetta.versionExported
true
ethz.COinS
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