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dc.contributor.authorOtto, Thomas
dc.contributor.authorMamassian, Pascal
dc.date.accessioned2016-10-07T12:30:14Z
dc.date.available2016-10-07T12:30:14Z
dc.date.issued2017-01
dc.identifier245865048
dc.identifierf2d1b53c-85b5-4bee-b86d-a7628b374549
dc.identifier85011053900
dc.identifier000394515200001
dc.identifier.citationOtto , T & Mamassian , P 2017 , ' Multisensory decisions : the test of a race model, its logic, and power ' , Multisensory Research , vol. 30 , no. 1 , pp. 1–24 . https://doi.org/10.1163/22134808-00002541en
dc.identifier.issn2213-4794
dc.identifier.otherORCID: /0000-0002-8621-9462/work/46126715
dc.identifier.urihttps://hdl.handle.net/10023/9623
dc.descriptionThe research leading to these results has received funding from the European Community’s Seventh Framework Program (FP7/2007-2013 under grant agreement number 214728-2) and from the Biotechnology and Biological Sciences Research Council (BB/N010108/1).en
dc.description.abstractThe use of separate multisensory signals is often beneficial. A prominent example is the speed-up of responses to two redundant signals relative to the components, which is known as the redundant signals effect (RSE). A convenient explanation for the effect is statistical facilitation, which is inherent in the basic architecture of race models (Raab, 1962). However, this class of models has been largely rejected in multisensory research, which we think results from an ambiguity in definitions and misinterpretations of the influential race model test (Miller, 1982). To resolve these issues, we here discuss four main items. First, we clarify definitions and ask how successful models of perceptual decision making can be extended from uni- to multisensory decisions. Second, we review the race model test and emphasize elements leading to confusion with its interpretation. Third, we introduce a new approach to study the RSE. As a major change of direction, our working hypothesis is that the basic race model architecture is correct even if the race model test seems to suggest otherwise. Based on this approach, we argue that understanding the variability of responses is the key to understand the RSE. Finally, we highlight the critical role of model testability to advance research on multisensory decisions. Despite being largely rejected, it should be recognized that race models, as part of a broader class of parallel decision models, demonstrate, in fact, a convincing explanatory power in a range of experimental paradigms. To improve research consistency in the future, we conclude with a short checklist for RSE studies.
dc.format.extent408845
dc.language.isoeng
dc.relation.ispartofMultisensory Researchen
dc.subjectLogic gatesen
dc.subjectPerceptual decision makingen
dc.subjectRace modelen
dc.subjectMultisensory processingen
dc.subjectProbability summationen
dc.subjectRedundant signals effecten
dc.subjectReaction timeen
dc.subjectModality switchingen
dc.subjectBF Psychologyen
dc.subjectT-NDASen
dc.subject.lccBFen
dc.titleMultisensory decisions : the test of a race model, its logic, and poweren
dc.typeJournal articleen
dc.contributor.sponsorBBSRCen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.identifier.doi10.1163/22134808-00002541
dc.description.statusPeer revieweden
dc.identifier.grantnumberBB/N010108/1en


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