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dc.contributor.advisorMolinaro, Nicola
dc.contributor.advisorBourguignon, Mathieu
dc.contributor.authorNara, Sanjeev
dc.date.accessioned2022-04-05T10:35:42Z
dc.date.available2022-04-05T10:35:42Z
dc.date.issued2022-03-29
dc.date.submitted2022-03-29
dc.identifier.urihttp://hdl.handle.net/10810/56191
dc.description140 p.es_ES
dc.description.abstractIn the last few decades, a lot of research focus has been to understand how the human brain generates expectation about the incoming sensory responses and how it deals with surprise or unpredictable input. It is evident in predictive processing literature that the human brain suppresses the neural responses to predictable/expected stimuli (termed as expectation suppression effect). This thesis provide evidence to how expectation suppression is affected by content-based expectations (what) and temporal uncertainty (when) across sensory modalities (visual and auditory) using state-of-art Magnetoencephalography (MEG) imaging. The result shows that visual domain is more sensitive to content-based expectations (what) more than the timing (when), also visual domain shows sensitivity to timing (when) only if what was predictable. However, Auditory domain is equally sensitive to what and when features, showing enhanced suppression to expectation compared to visual domain. This thesis concludes conclude that the sensory modalities deal differently with the contextual expectations and temporal predictability. This suggests that while investigating predictive processing in the human brain, the modality specific differences should be considered, since the predictive mechanism at work in one domain should not necessarily be generalized to other domains as well.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectlife scienceses_ES
dc.titleExpectation suppression across sensory modalitites: a MEG investigationes_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.rights.holderAtribución 3.0 España*
dc.rights.holder(cc) 2022 Sanjeev Nara (cc by 4.0)
dc.identifier.studentID888802es_ES
dc.identifier.projectID22246es_ES
dc.departamentoesLengua Vasca y Comunicaciónes_ES
dc.departamentoeuEuskal Hizkuntza eta Komunikazioaes_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España