Nueral correlates of subjective confidende in visual decision-making

dc.contributor.advisorJehee, Janneke
dc.contributor.advisorGerven, Marcel, van
dc.contributor.authorGeurts, L.S.
dc.date.issued2016-12-19
dc.description.abstractHumans are able to reflect on the quality of their own decisions. With each of our decisions, we associate a certain degree of confidence. Moreover, recent work suggests that human observers use internal estimates of sensory uncertainty when making decisions. This raises the question whether confidence is a readout of such estimates, and if so, how and where confidence is computed from uncertainty. Earlier research has suggested a variety of brain areas potentially involved in the computation of confidence. However, in those studies, stimulus properties were modulated to induce variability in confidence, thereby providing subjects with cues regarding stimulus difficulty and thus expected performance. Here, subjects performed a visual decision task in which stimulus properties were held constant across trials, such that confidence reports could only be based on internal measures. Our data show that even without variability in stimulus difficulty, humans are able to reflect on their own performance, suggesting that confidence is at least partially based on internal estimates of sensory uncertainty. We used fMRI to identify brain regions encoding confidence during this task, and mainly found confidence-related activation in the striatum, particularly in the head of the caudate nucleus and the nucleus accumbens. Our results suggest that this region plays a key role in the computation of confidence from internal estimates of uncertainty. This work provides leads for future research on the neural mechanisms underlying the computation of decision confidence and the role of uncertainty in neural computations in general.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/4387
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationMaster Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeMasteren_US
dc.titleNueral correlates of subjective confidende in visual decision-makingen_US
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