Deconstructing multi-sensory enhancement in detection
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- dc.contributor.author Pannunzi, Marioca
- dc.contributor.author Pérez-Bellido, Alexisca
- dc.contributor.author Pereda-Baños, Alexandreca
- dc.contributor.author López-Moliner, Joanca
- dc.contributor.author Deco, Gustavoca
- dc.contributor.author Soto-Faraco, Salvador, 1970-ca
- dc.date.accessioned 2016-07-18T08:26:45Z
- dc.date.available 2016-07-18T08:26:45Z
- dc.date.issued 2015ca
- dc.description.abstract The mechanisms responsible for the integration of sensory information from different modalities have become a topic of intense interest in psychophysics and neuroscience. Many authors now claim that early, sensory-based cross-modal convergence improves performance in detection tasks. An important strand of supporting evidence for this claim is based on statistical models such as the Pythagorean model or the probabilistic summation model. These models establish statistical benchmarks representing the best predicted performance under the assumption that there are no interactions between the two sensory paths. Following this logic, when observed detection performances surpass the predictions of these models, it is often inferred that such improvement indicates cross-modal convergence. We present a theoretical analyses scrutinizing some of these models and the statistical criteria most frequently used to infer early cross-modal interactions during detection tasks. Our current analysis shows how some common misinterpretations of these models lead to their inadequate use and, in turn, to contradictory results and misleading conclusions. To further illustrate the latter point, we introduce a model that accounts for detection performances in multimodal detection tasks but for which surpassing of the Pythagorean or probabilistic summation benchmark can be explained without resorting to early cross-modal interactions. Finally, we report three experiments that put our theoretical interpretation to the test and further propose how to adequately measure multimodal interactions in audiotactile detection tasks.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Pannunzi M, Pérez-Bellido A, Pereda-Baños A, López-Moliner J, Deco G, Soto-Faraco S. Deconstructing multi-sensory enhancement in detection. J Neurophysiol. 2015;113(6):1800-18. DOI: 10.1152/jn.00341.2014ca
- dc.identifier.doi http://dx.doi.org/10.1152/jn.00341.2014
- dc.identifier.issn 0022-3077ca
- dc.identifier.uri http://hdl.handle.net/10230/27074
- dc.language.iso engca
- dc.publisher American Physiological Societyca
- dc.relation.ispartof Journal of Neurophysiology. 2015;113(6):1800-18
- dc.rights © 2015 the American Physiological Societyca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.subject.keyword Attractor neural network
- dc.subject.keyword Multisensory
- dc.subject.keyword Probabilistic sum
- dc.subject.keyword Signal detection theory
- dc.subject.keyword Signal detection theory
- dc.title Deconstructing multi-sensory enhancement in detectionca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/submittedVersionca