Ideal-observer models of perceptual contrast enhancement
Identifieur interne : 004785 ( Ncbi/Merge ); précédent : 004784; suivant : 004786Ideal-observer models of perceptual contrast enhancement
Auteurs : Jonathan Platkiewicz [France] ; Hannah Michalska [Canada] ; Vincent Hayward [France]Source :
- BMC Neuroscience [ 1471-2202 ] ; 2013.
Url:
DOI: 10.1186/1471-2202-14-S1-P162
PubMed: NONE
PubMed Central: 3704482
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xml:lang="fr">Canada</country><wicri:regionArea>Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, H3A 2A7</wicri:regionArea><orgName type="university">Université McGill</orgName><placeName><settlement type="city">Montréal</settlement><region type="state">Québec</region></placeName></affiliation></author><author><name sortKey="Hayward, Vincent" sort="Hayward, Vincent" uniqKey="Hayward V" first="Vincent" last="Hayward">Vincent Hayward</name><affiliation wicri:level="1"><nlm:aff id="I1">Institut des Systèmes Intelligents et de Robotique, UPMC Univ Paris 06, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut des Systèmes Intelligents et de Robotique, UPMC Univ Paris 06, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">3704482</idno><idno 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06, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Michalska, Hannah" sort="Michalska, Hannah" uniqKey="Michalska H" first="Hannah" last="Michalska">Hannah Michalska</name><affiliation wicri:level="4"><nlm:aff id="I2">Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, H3A 2A7, Canada</nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, H3A 2A7</wicri:regionArea><orgName type="university">Université McGill</orgName><placeName><settlement type="city">Montréal</settlement><region type="state">Québec</region></placeName></affiliation></author><author><name sortKey="Hayward, Vincent" sort="Hayward, Vincent" uniqKey="Hayward V" first="Vincent" last="Hayward">Vincent Hayward</name><affiliation wicri:level="1"><nlm:aff id="I1">Institut des Systèmes Intelligents et de Robotique, UPMC Univ Paris 06, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut des Systèmes Intelligents et de Robotique, UPMC Univ Paris 06, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation></author></analytic><series><title level="j">BMC Neuroscience</title><idno type="eISSN">1471-2202</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Trommersh User, J" uniqKey="Trommersh User J">J Trommershäuser</name></author><author><name sortKey="Kording, Kp" uniqKey="Kording K">KP Körding</name></author><author><name sortKey="Landy, Ms" uniqKey="Landy M">MS Landy</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ernst, Mo" uniqKey="Ernst M">MO Ernst</name></author><author><name sortKey="Banks, Ms" uniqKey="Banks M">MS Banks</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ernst, Mo" uniqKey="Ernst M">MO Ernst</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Brayanov, Jb" uniqKey="Brayanov J">JB Brayanov</name></author><author><name sortKey="Smith, Ma" uniqKey="Smith M">MA Smith</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="abstract" xml:lang="en"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Neurosci</journal-id><journal-id journal-id-type="iso-abbrev">BMC Neurosci</journal-id><journal-title-group><journal-title>BMC Neuroscience</journal-title></journal-title-group><issn pub-type="epub">1471-2202</issn><publisher><publisher-name>BioMed Central</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">3704482</article-id><article-id pub-id-type="publisher-id">1471-2202-14-S1-P162</article-id><article-id pub-id-type="doi">10.1186/1471-2202-14-S1-P162</article-id><article-categories><subj-group subj-group-type="heading"><subject>Poster Presentation</subject></subj-group></article-categories><title-group><article-title>Ideal-observer models of perceptual contrast enhancement</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" id="A1"><name><surname>Platkiewicz</surname><given-names>Jonathan</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>platkiewicz@isir.upmc.fr</email></contrib><contrib contrib-type="author" id="A2"><name><surname>Michalska</surname><given-names>Hannah</given-names></name><xref ref-type="aff" rid="I2">2</xref></contrib><contrib contrib-type="author" id="A3"><name><surname>Hayward</surname><given-names>Vincent</given-names></name><xref ref-type="aff" rid="I1">1</xref></contrib></contrib-group><aff id="I1"><label>1</label>Institut des Systèmes Intelligents et de Robotique, UPMC Univ Paris 06, Paris, France</aff><aff id="I2"><label>2</label>Department of Electrical and Computer Engineering, McGill University, Montreal, Quebec, H3A 2A7, Canada</aff><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>8</day><month>7</month><year>2013</year></pub-date><volume>14</volume><issue>Suppl 1</issue><supplement><named-content content-type="supplement-title">Abstracts from the Twenty Second Annual Computational Neuroscience Meeting: CNS*2013</named-content></supplement><fpage>P162</fpage><lpage>P162</lpage><permissions><copyright-statement>Copyright © 2013 Platkiewicz et al; licensee BioMed Central Ltd.</copyright-statement><copyright-year>2013</copyright-year><copyright-holder>Platkiewicz et al; licensee BioMed Central Ltd.</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><self-uri xlink:href="http://www.biomedcentral.com/1471-2202/14/S1/P162"></self-uri><conference><conf-date>13-18 July 2013</conf-date><conf-name>Twenty Second Annual Computational Neuroscience Meeting: CNS*2013</conf-name><conf-loc>Paris, France</conf-loc></conference></article-meta></front><body><sec><title></title><p>In standard ideal-observer models of sensory cue integration [<xref ref-type="bibr" rid="B1">1</xref>], the perceptual estimate resulting from the combination of two cues lies in the interval bounded by the estimates of each cue separately. For example, this type of model accounts well for the psychophysical result - observers give an estimate in-between the haptic-alone and the visual-alone estimates, when asked to estimate ridges height with both vision and touch [<xref ref-type="bibr" rid="B2">2</xref>]. Nevertheless, a class of perceptual illusion is supposedly not accounted for by this type of model, namely contrast illusion, such as the size-weight illusion [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>]. In the size-weight illusion, when asked to estimate the weight of two objects of the same mass but not the same size, observers estimate the larger as lighter. Using standard ideal-observer models, we showed that it is possible to account for this class of illusion provided that statistical correlation between each cue estimate is taken into account. Our argument is based on statistical inference models such as linear minimum-variance unbiased estimation, maximum a posteriori estimation, and least relative surprise estimation. This psychophysical model is general as long as the perceptual estimate deals with a physical quantity that is proportional to another physical quantity also available as a cue, such as mass and volume for a given material in the size-weight illusion.</p></sec></body><back><sec><title>Acknowledgements</title><p>We thank Marc Ernst and Cesare Valerio Parise for fruitful discussions. This work was supported by the European Research Council (FP7 Programme) ERC Advanced Grant agreement no. 247 300.</p></sec><ref-list><ref id="B1"><mixed-citation publication-type="book"><name><surname>Trommershäuser</surname><given-names>J</given-names></name><name><surname>Körding</surname><given-names>KP</given-names></name><name><surname>Landy</surname><given-names>MS</given-names></name><source>Sensory cue integration</source><year>2011</year><publisher-name>New York: Oxford University Press</publisher-name></mixed-citation></ref><ref id="B2"><mixed-citation publication-type="journal"><name><surname>Ernst</surname><given-names>MO</given-names></name><name><surname>Banks</surname><given-names>MS</given-names></name><article-title>Humans integrate visual and haptic information in a statistically optimal fashion</article-title><source>Nature</source><year>2002</year><volume>415</volume><fpage>429</fpage><lpage>433</lpage><pub-id pub-id-type="doi">10.1038/415429a</pub-id><pub-id pub-id-type="pmid">11807554</pub-id></mixed-citation></ref><ref id="B3"><mixed-citation publication-type="journal"><name><surname>Ernst</surname><given-names>MO</given-names></name><article-title>Perceptual learning: inverting the size-weight illusion</article-title><source>Current Biol</source><year>2009</year><volume>19</volume><fpage>23</fpage><lpage>25</lpage><pub-id pub-id-type="doi">10.1016/j.sbi.2008.12.004</pub-id></mixed-citation></ref><ref id="B4"><mixed-citation publication-type="journal"><name><surname>Brayanov</surname><given-names>JB</given-names></name><name><surname>Smith</surname><given-names>MA</given-names></name><article-title>Bayesian and "anti-Bayesian" biases in sensory integration for action and perception in the size--weight illusion</article-title><source>J Neurophysiol</source><year>2010</year><volume>103</volume><fpage>1518</fpage><lpage>1531</lpage><pub-id pub-id-type="doi">10.1152/jn.00814.2009</pub-id><pub-id pub-id-type="pmid">20089821</pub-id></mixed-citation></ref></ref-list></back></pmc><affiliations><list><country><li>Canada</li><li>France</li></country><region><li>Québec</li></region><settlement><li>Montréal</li><li>Paris</li></settlement><orgName><li>Université McGill</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Platkiewicz, Jonathan" sort="Platkiewicz, Jonathan" uniqKey="Platkiewicz J" first="Jonathan" last="Platkiewicz">Jonathan Platkiewicz</name></noRegion><name sortKey="Hayward, Vincent" sort="Hayward, Vincent" uniqKey="Hayward V" first="Vincent" last="Hayward">Vincent Hayward</name></country><country name="Canada"><region name="Québec"><name sortKey="Michalska, Hannah" sort="Michalska, Hannah" uniqKey="Michalska H" first="Hannah" last="Michalska">Hannah Michalska</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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