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dc.contributor.authorKreis, Isabel Viola
dc.contributor.authorSandvik, Kristin
dc.contributor.authorTjelmeland, Håkon
dc.contributor.authorBiegler, Robert
dc.contributor.authorPfuhl, Gerit
dc.date.accessioned2017-10-05T10:56:57Z
dc.date.available2017-10-05T10:56:57Z
dc.date.issued2017
dc.description.abstractWithin the predictive coding framework the brain is defined as an inference machine that continuously tries to predict its sensory inputs on the basis of beliefs about the world and updates those beliefs in the presence of contradictory sensory data (i.e. prediciton errors; Friston, 2005). Neurobiologically, the weighting and further processing of those prediction errors is thought to be influenced by the gain of neuronal error units (Friston, 2010). When explaining the aberrant cognitive processes in patients with psychosis and autism, models based on this account have generated contradictory predictions. One main question is if the patients’ beliefs are too imprecise, too precise, or if the weighting of prediction errors is aberrant. In our study we are trying to test these hypotheses directly, using two different tasks that measure the precision of the prior belief and the weighting of the prediction error.en_US
dc.descriptionPoster.en_US
dc.identifier.cristinIDFRIDAID 1498424
dc.identifier.urihttps://hdl.handle.net/10037/11632
dc.language.isoengen_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/FRIMEDBIO/262338/Norway/TooPreciseOrTooImprecise//en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Samfunnsvitenskap: 200::Psykologi: 260::Klinisk psykologi: 262en_US
dc.subjectVDP::Social science: 200::Psychology: 260::Clinical psychology: 262en_US
dc.titleProbabilistic inference in psychosis and autismen_US
dc.typeConference objecten_US
dc.typeKonferansebidragen_US


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