Time perception of visual motion is tuned by the motor representation of human actions
Identifieur interne : 000007 ( Pmc/Curation ); précédent : 000006; suivant : 000008Time perception of visual motion is tuned by the motor representation of human actions
Auteurs : Gioele Gavazzi [Italie] ; Ambra Bisio [Italie] ; Thierry Pozzo [Italie, France]Source :
- Scientific Reports [ 2045-2322 ] ; 2013.
Abstract
Several studies have shown that the observation of a rapidly moving stimulus dilates our perception of time. However, this effect appears to be at odds with the fact that our interactions both with environment and with each other are temporally accurate. This work exploits this paradox to investigate whether the temporal accuracy of visual motion uses motor representations of actions. To this aim, the stimuli were a dot moving with kinematics belonging or not to the human motor repertoire and displayed at different velocities. Participants had to replicate its duration with two tasks differing in the underlying motor plan. Results show that independently of the task's motor plan, the temporal accuracy and precision depend on the correspondence between the stimulus' kinematics and the observer's motor competencies. Our data suggest that the temporal mechanism of visual motion exploits a temporal visuomotor representation tuned by the motor knowledge of human actions.
Url:
DOI: 10.1038/srep01168
PubMed: 23378903
PubMed Central: 3558721
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<front><div type="abstract" xml:lang="en"><p>Several studies have shown that the observation of a rapidly moving stimulus dilates our perception of time. However, this effect appears to be at odds with the fact that our interactions both with environment and with each other are temporally accurate. This work exploits this paradox to investigate whether the temporal accuracy of visual motion uses motor representations of actions. To this aim, the stimuli were a dot moving with kinematics belonging or not to the human motor repertoire and displayed at different velocities. Participants had to replicate its duration with two tasks differing in the underlying motor plan. Results show that independently of the task's motor plan, the temporal accuracy and precision depend on the correspondence between the stimulus' kinematics and the observer's motor competencies. Our data suggest that the temporal mechanism of visual motion exploits a temporal visuomotor representation tuned by the motor knowledge of human actions.</p>
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<biblStruct><analytic><author><name sortKey="Bueti, D" uniqKey="Bueti D">D. Bueti</name>
</author>
<author><name sortKey="Walsh, V" uniqKey="Walsh V">V. Walsh</name>
</author>
<author><name sortKey="Frith, C" uniqKey="Frith C">C. Frith</name>
</author>
<author><name sortKey="Rees, G" uniqKey="Rees G">G. Rees</name>
</author>
</analytic>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Sci Rep</journal-id>
<journal-id journal-id-type="iso-abbrev">Sci Rep</journal-id>
<journal-title-group><journal-title>Scientific Reports</journal-title>
</journal-title-group>
<issn pub-type="epub">2045-2322</issn>
<publisher><publisher-name>Nature Publishing Group</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">23378903</article-id>
<article-id pub-id-type="pmc">3558721</article-id>
<article-id pub-id-type="pii">srep01168</article-id>
<article-id pub-id-type="doi">10.1038/srep01168</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Time perception of visual motion is tuned by the motor representation of human actions</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Gavazzi</surname>
<given-names>Gioele</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Bisio</surname>
<given-names>Ambra</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Pozzo</surname>
<given-names>Thierry</given-names>
</name>
<xref ref-type="corresp" rid="c1">a</xref>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<aff id="a1"><label>1</label>
<institution>Robotics, Brain and Cognitive Sciences Department</institution>
, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genoa, Italy</aff>
<aff id="a2"><label>2</label>
<institution>Institut Universitaire de France (IUF), Université de Bourgogne</institution>
, UFR STAPS, F-21078 Dijon, France</aff>
<aff id="a3"><label>3</label>
<institution>Institut National de la Santé et de la Recherche Médicale (INSERM), Unité 1093</institution>
, F-21078 Dijon, France</aff>
<aff id="a4"><label>4</label>
<institution>Dipartimento di Informatica, Sistemistica e Telematica, Università degli Studi di Genova</institution>
, Genova, Italy</aff>
</contrib-group>
<author-notes><corresp id="c1"><label>a</label>
<email>thierry.pozzo@iit.it</email>
</corresp>
</author-notes>
<pub-date pub-type="epub"><day>30</day>
<month>01</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="collection"><year>2013</year>
</pub-date>
<volume>3</volume>
<elocation-id>1168</elocation-id>
<history><date date-type="received"><day>07</day>
<month>11</month>
<year>2012</year>
</date>
<date date-type="accepted"><day>11</day>
<month>01</month>
<year>2013</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2013, Macmillan Publishers Limited. All rights reserved</copyright-statement>
<copyright-year>2013</copyright-year>
<copyright-holder>Macmillan Publishers Limited. All rights reserved</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><pmc-comment>author-paid</pmc-comment>
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0/">http://creativecommons.org/licenses/by-nc-nd/3.0/</ext-link>
</license-p>
</license>
</permissions>
<abstract><p>Several studies have shown that the observation of a rapidly moving stimulus dilates our perception of time. However, this effect appears to be at odds with the fact that our interactions both with environment and with each other are temporally accurate. This work exploits this paradox to investigate whether the temporal accuracy of visual motion uses motor representations of actions. To this aim, the stimuli were a dot moving with kinematics belonging or not to the human motor repertoire and displayed at different velocities. Participants had to replicate its duration with two tasks differing in the underlying motor plan. Results show that independently of the task's motor plan, the temporal accuracy and precision depend on the correspondence between the stimulus' kinematics and the observer's motor competencies. Our data suggest that the temporal mechanism of visual motion exploits a temporal visuomotor representation tuned by the motor knowledge of human actions.</p>
</abstract>
</article-meta>
</front>
<floats-group><fig id="f1"><label>Figure 1</label>
<caption><title>Experimental procedure.</title>
<p>Stimuli sequence (a) and velocity profiles of the dot displayed (b). Each trial started with a mask of two-dimensional randomly distributed small discs, randomly variable in luminance and colors (with diameters between 2° and 20°) covering an area of about 100° in diameter. Then a blue cross indicating motion starting position appeared. The cross was replaced by a blue dot moving upward according to the biological law of motion (Bio, bell-shaped velocity profile, Figure 1B, red line) or violating it (NBio, constant velocity, Figure 1B blue line). When the dot vanished participants had to reproduce the duration of the visual stimulus in two different ways: by moving their right arm along the vertical plane (Task A) or by holding down a key (Task K). Thus in Task A, participants were instructed to point to the cross preceding the appearance of the dot with their right arm, to keep the arm in this position while observing the dot motion, and to perform an upward arm movement of the same duration as soon as the stimulus vanished. Instead in Task K, participants had to watch the dot motion, and, when it disappeared, to hold down a keyboard button as long as they had perceived the duration of its motion.</p>
</caption>
<graphic xlink:href="srep01168-f1"></graphic>
</fig>
<fig id="f2"><label>Figure 2</label>
<caption><title>The visual kinematics modulates the temporal estimation.</title>
<p>Each symbol indicates the mean value (±standard error). The colors code the Stimulus (red - Bio kinematics, blue-NBio constant motion), whereas the shape codes the Task (circle-key K, triangle–arm A). The green zone highlights the region where stimulus duration was close to the natural arm movement duration. (a) Accuracy. ΔEstimation (ms, y-axis)-as function of the stimulus velocity (°/s, x-axis). In each experimental condition ΔE was calculated as the mean difference between time reproduction responses and stimulus durations. (b) Time Reproduction. Time (ms, y-axis) as a function of the -stimuli durations-Time (ms, x-axis). The black line indicates a perfect time reproduction. (c) Precision. Standard Deviation (y-axis) - as function of the -stimuli durations- Time (ms, x-axis).</p>
</caption>
<graphic xlink:href="srep01168-f2"></graphic>
</fig>
<fig id="f3"><label>Figure 3</label>
<caption><title>The matching between the stimulus' kinematics and the internal models of action calibrates the temporal performance.</title>
<p>The colors code the stimulus kinematics (red-Bio, blue-NBio). (a) Arm performance of a typical subject. Velocity (m/s, y-axis) as function of time (ms, x-axis). At the top of each row is reported the duration of the stimuli displayed. Each curve drawn represents a single trial. In both B and C panels each row corresponds to participants' responses accuracy to one stimulus duration (top 400 ms, bottom 1900 ms). (b) Distributions of the accuracy computed from participants' responses fitted with Gaussian functions. Left and right columns refer to the tasks K and A, respectively. The x-axis reports the accuracy of all the duration of participants' responses (Bins equal to 15) whereas the y-axis indicates how many times the response occurs (frequency). (c) Proportion of one-shot movements. Each histogram represents the proportion of one-shot movements in correspondence to each stimulus duration and kinematics.</p>
</caption>
<graphic xlink:href="srep01168-f3"></graphic>
</fig>
<fig id="f4"><label>Figure 4</label>
<caption><title>Reaction Times and Spatial Accuracy.</title>
<p>The colors code the Stimulus (red - Bio kinematics, blue - NBio constant motion), whereas the shape codes the Task (circle-key K, triangle–arm A). (a) Reaction times as a function of the -stimuli durations- Time. (b) PCE (±standard error) as a function of the stimuli durations. Positive values indicate errors in the direction of the stimuli motion. Each histogram is respectively named FP or SP in relation to the final or the starting position of the evaluation.</p>
</caption>
<graphic xlink:href="srep01168-f4"></graphic>
</fig>
</floats-group>
</pmc>
</record>
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