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dc.contributor.authorO'Connell, Redmond
dc.date.accessioned2023-10-04T14:01:31Z
dc.date.available2023-10-04T14:01:31Z
dc.date.issued2021
dc.date.submitted2021en
dc.identifier.citationO'Connell, R.G. and Kelly, S.P., Neurophysiology of Human Perceptual Decision-Making, Annual Review of Neuroscience, 44, 2021, 495-516en
dc.identifier.otherY
dc.description.abstractThe discovery of neural signals that reflect the dynamics of perceptual decision formation has had a considerable impact. Not only do such signals enable detailed investigations of the neural implementation of the decision-making process but they also can expose key elements of the brain's decision algorithms. For a long time, such signals were only accessible through direct animal brain recordings, and progress in human neuroscience was hampered by the limitations of noninvasive recording techniques. However, recent methodological advances are increasingly enabling the study of human brain signals that finely trace the dynamics of the unfolding decision process. In this review, we highlight how human neurophysiological data are now being leveraged to furnish new insights into the multiple processing levels involved in forming decisions, to inform the construction and evaluation of mathematical models that can explain intra- and interindividual differences, and to examine how key ancillary processes interact with core decision circuits.en
dc.format.extent495-516en
dc.language.isoenen
dc.relation.ispartofseriesAnnual Review of Neuroscience;
dc.relation.ispartofseries44;
dc.rightsYen
dc.subjectEEGen
dc.subjectMEGen
dc.subjectCognitive modelingen
dc.subjectEvidence accumulationen
dc.subjectfMRIen
dc.subjectPerceptual decision-makingen
dc.titleNeurophysiology of Human Perceptual Decision-Makingen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reoconne
dc.identifier.rssinternalid243715
dc.identifier.doihttp://dx.doi.org/10.1146/annurev-neuro-092019-100200
dc.rights.ecaccessrightsopenAccess
dc.status.accessibleNen
dc.identifier.urihttp://hdl.handle.net/2262/103954


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