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      Attention to sound improves auditory reliability in audio-tactile spatial optimal integration

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          Abstract

          The role of attention on multisensory processing is still poorly understood. In particular, it is unclear whether directing attention toward a sensory cue dynamically reweights cue reliability during integration of multiple sensory signals. In this study, we investigated the impact of attention in combining audio-tactile signals in an optimal fashion. We used the Maximum Likelihood Estimation (MLE) model to predict audio-tactile spatial localization on the body surface. We developed a new audio-tactile device composed by several small units, each one consisting of a speaker and a tactile vibrator independently controllable by external software. We tested participants in an attentional and a non-attentional condition. In the attentional experiment, participants performed a dual task paradigm: they were required to evaluate the duration of a sound while performing an audio-tactile spatial task. Three unisensory or multisensory stimuli, conflictual or not conflictual sounds and vibrations arranged along the horizontal axis, were presented sequentially. In the primary task participants had to evaluate in a space bisection task the position of the second stimulus (the probe) with respect to the others (the standards). In the secondary task they had to report occasionally changes in duration of the second auditory stimulus. In the non-attentional task participants had only to perform the primary task (space bisection). Our results showed an enhanced auditory precision (and auditory weights) in the auditory attentional condition with respect to the control non-attentional condition. The results of this study support the idea that modality-specific attention modulates multisensory integration.

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            The ventriloquist effect results from near-optimal bimodal integration.

            Ventriloquism is the ancient art of making one's voice appear to come from elsewhere, an art exploited by the Greek and Roman oracles, and possibly earlier. We regularly experience the effect when watching television and movies, where the voices seem to emanate from the actors' lips rather than from the actual sound source. Originally, ventriloquism was explained by performers projecting sound to their puppets by special techniques, but more recently it is assumed that ventriloquism results from vision "capturing" sound. In this study we investigate spatial localization of audio-visual stimuli. When visual localization is good, vision does indeed dominate and capture sound. However, for severely blurred visual stimuli (that are poorly localized), the reverse holds: sound captures vision. For less blurred stimuli, neither sense dominates and perception follows the mean position. Precision of bimodal localization is usually better than either the visual or the auditory unimodal presentation. All the results are well explained not by one sense capturing the other, but by a simple model of optimal combination of visual and auditory information.
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              QUEST: a Bayesian adaptive psychometric method.

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                Author and article information

                Contributors
                Journal
                Front Integr Neurosci
                Front Integr Neurosci
                Front. Integr. Neurosci.
                Frontiers in Integrative Neuroscience
                Frontiers Media S.A.
                1662-5145
                07 May 2015
                2015
                : 9
                : 34
                Affiliations
                Robotics, Brain, and Cognitive Sciences Department, Fondazione Istituto Italiano di Tecnologia Genoa, Italy
                Author notes

                Edited by: Jessica Hartcher-O'Brien, l'Ecole Normale Superieuer, France

                Reviewed by: John S. Butler, Trinity College Dublin, Ireland; Yoshiyuki Sato, University of Electro-Communications, Japan; Kielan Yarrow, City University London, UK

                *Correspondence: Tiziana Vercillo, Robotics, Brain, and Cognitive Sciences Department, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genoa, Italy tiziana.vercillo@ 123456iit.it
                Article
                10.3389/fnint.2015.00034
                4423351
                25999825
                d5470baf-5ba8-4215-b2c4-74a047700125
                Copyright © 2015 Vercillo and Gori.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 September 2014
                : 22 April 2015
                Page count
                Figures: 6, Tables: 6, Equations: 6, References: 25, Pages: 8, Words: 5926
                Categories
                Neuroscience
                Original Research

                Neurosciences
                attention,multisensory integration,auditory,bayes theorem,sensory cue
                Neurosciences
                attention, multisensory integration, auditory, bayes theorem, sensory cue

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