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dc.contributor.authorOtto, Thomas
dc.contributor.authorMamassian, Pascal
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 .
dc.identifier.otherPURE: 245865048
dc.identifier.otherPURE UUID: f2d1b53c-85b5-4bee-b86d-a7628b374549
dc.identifier.otherScopus: 85011053900
dc.identifier.otherORCID: /0000-0002-8621-9462/work/46126715
dc.identifier.otherWOS: 000394515200001
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.relation.ispartofMultisensory Researchen
dc.rights© T. U. Otto and P. Mamassian, 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (CC BY 3.0)en
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.titleMultisensory decisions : the test of a race model, its logic, and poweren
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.description.statusPeer revieweden

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