Bayesian Calibration of Simultaneity in Audiovisual Temporal Order Judgments
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Mendeley | Further Information

{"title"=>"Bayesian calibration of simultaneity in audiovisual temporal order judgments", "type"=>"journal", "authors"=>[{"first_name"=>"Shinya", "last_name"=>"Yamamoto", "scopus_author_id"=>"35467064700"}, {"first_name"=>"Makoto", "last_name"=>"Miyazaki", "scopus_author_id"=>"55305545900"}, {"first_name"=>"Takayuki", "last_name"=>"Iwano", "scopus_author_id"=>"54401206000"}, {"first_name"=>"Shigeru", "last_name"=>"Kitazawa", "scopus_author_id"=>"36865431600"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84863622679", "doi"=>"10.1371/journal.pone.0040379", "pui"=>"365202397", "issn"=>"19326203", "pmid"=>"22792297", "isbn"=>"0168-0102", "scopus"=>"2-s2.0-84863622679"}, "id"=>"e62a8ee6-d62b-30ec-abf5-d2f110bcd671", "abstract"=>"After repeated exposures to two successive audiovisual stimuli presented in one frequent order, participants eventually perceive a pair separated by some lag time in the same order as occurring simultaneously (lag adaptation). In contrast, we previously found that perceptual changes occurred in the opposite direction in response to tactile stimuli, conforming to bayesian integration theory (bayesian calibration). We further showed, in theory, that the effect of bayesian calibration cannot be observed when the lag adaptation was fully operational. This led to the hypothesis that bayesian calibration affects judgments regarding the order of audiovisual stimuli, but that this effect is concealed behind the lag adaptation mechanism. In the present study, we showed that lag adaptation is pitch-insensitive using two sounds at 1046 and 1480 Hz. This enabled us to cancel lag adaptation by associating one pitch with sound-first stimuli and the other with light-first stimuli. When we presented each type of stimulus (high- or low-tone) in a different block, the point of simultaneity shifted to \"sound-first\" for the pitch associated with sound-first stimuli, and to \"light-first\" for the pitch associated with light-first stimuli. These results are consistent with lag adaptation. In contrast, when we delivered each type of stimulus in a randomized order, the point of simultaneity shifted to \"light-first\" for the pitch associated with sound-first stimuli, and to \"sound-first\" for the pitch associated with light-first stimuli. The results clearly show that bayesian calibration is pitch-specific and is at work behind pitch-insensitive lag adaptation during temporal order judgment of audiovisual stimuli.", "link"=>"http://www.mendeley.com/research/bayesian-calibration-simultaneity-audiovisual-temporal-order-judgments", "reader_count"=>129, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>15, "Student > Doctoral Student"=>3, "Researcher"=>32, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>7, "Other"=>2, "Student > Master"=>16, "Student > Bachelor"=>8, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>15, "Student > Doctoral Student"=>3, "Researcher"=>32, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>7, "Other"=>2, "Student > Master"=>16, "Student > Bachelor"=>8, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_subject_area"=>{"Engineering"=>5, "Unspecified"=>10, "Mathematics"=>1, "Agricultural and Biological Sciences"=>11, "Medicine and Dentistry"=>7, "Neuroscience"=>19, "Arts and Humanities"=>1, "Sports and Recreations"=>3, "Physics and Astronomy"=>1, "Psychology"=>64, "Social Sciences"=>3, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Neuroscience"=>{"Neuroscience"=>19}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>3}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>64}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>11}, "Computer Science"=>{"Computer Science"=>4}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>10}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "Netherlands"=>2, "Austria"=>1, "United States"=>3, "Japan"=>8, "Brazil"=>1, "Poland"=>1, "United Kingdom"=>5, "Italy"=>1, "Mexico"=>1, "Germany"=>4, "Spain"=>1}, "group_count"=>7}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/612502"], "description"=>"<p>Each panel shows data from Experiment 1 (A), 2 (B), 3 (C), and 4 (D). Note that all participants yielded data in agreement with lag adaptation in Experiment 1 (A), but all participants yielded those in agreement with Bayesian calibration in Experiment 2 (B) and 4 (D).</p>", "links"=>[], "tags"=>["simultaneity", "calculated"], "article_id"=>282997, "categories"=>["Mathematics", "Biological Sciences", "Neuroscience"], "users"=>["Shinya Yamamoto", "Makoto Miyazaki", "Takayuki Iwano", "Shigeru Kitazawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0040379.g003", "stats"=>{"downloads"=>4, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Shifts_in_the_point_of_simultaneity_calculated_for_each_individual_participants_/282997", "title"=>"Shifts in the point of simultaneity calculated for each individual participants.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:48:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/612722"], "description"=>"<p>In the experiment, each test stimuli was delivered after 6–10 adaptation stimuli, SOAs of which were sampled from −235 ms or +235 ms. Each symbol represents 72 judgments from six participants. Curves show the results of model fitting for the pooled data from all participants.</p>", "links"=>[], "tags"=>["simultaneity", "favoring", "bayesian"], "article_id"=>283218, "categories"=>["Mathematics", "Biological Sciences", "Neuroscience"], "users"=>["Shinya Yamamoto", "Makoto Miyazaki", "Takayuki Iwano", "Shigeru Kitazawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0040379.g005", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Shifts_in_the_point_of_simultaneity_in_the_Experiment_4_again_favoring_Bayesian_calibration_/283218", "title"=>"Shifts in the point of simultaneity in the Experiment 4, again favoring Bayesian calibration.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:50:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/612229"], "description"=>"<p>(A) Examples of biased distribution of stimulation intervals: Gaussian distributions with positive (red dashed) and negative (blue solid) peaks. Positive interval shows “light first” in audiovisual, and “right hand first” in tactile temporal order judgments. (B,C) Opposing shifts of psychometric functions under the biased distributions in audiovisual (B) and tactile temporal order judgments (C). The probability of “light first” (B) and “right hand first” (C) judgments (ordinate) is plotted against the stimulation interval (abscissa; stimulus onset asynchronies, SOAs). Note that the point of simultaneity, as indicated by the intersection of a psychometric function with P  =  0.5, shifted toward the peak of each Gaussian distribution in audiovisual (B, lag adaptation) but away from the peak in tactile temporal order judgments (C, Bayesian calibration). (D) A serial model for lag adaptation and Bayesian calibration. The order of the two systems could be the other way around. A constant time lag between a sound-light pair is adjusted before (or after) the signals enter Bayesian calibration mechanism. (E) Predictions of shifts in the mixed condition (second experiment). Six predictions are shown in a two-by-three factorial manner according to whether lag adaptation was pitch-specific or not (rows), and whether Bayesian calibration existed, existed but was not pitch-specific, or was pitch-specific (columns). Note that the point of simultaneity is expected to move away from the Gaussian peak only when Bayesian calibration is working in a pitch-specific manner, but lag adaptation is not pitch-specific (second row, third column).</p>", "links"=>[], "tags"=>["opposing", "calibrations", "simultaneity", "audiovisual", "tactile", "temporal"], "article_id"=>282713, "categories"=>["Mathematics", "Biological Sciences", "Neuroscience"], "users"=>["Shinya Yamamoto", "Makoto Miyazaki", "Takayuki Iwano", "Shigeru Kitazawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0040379.g001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Two_opposing_calibrations_of_simultaneity_in_audiovisual_B_and_tactile_C_temporal_order_judgments_/282713", "title"=>"Two opposing calibrations of simultaneity in audiovisual (B) and tactile (C) temporal order judgments.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:46:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/612368"], "description"=>"<p>(A, B) SOAs between a light stimulus and a tone pip (1046 or 1480 Hz) were sampled from one of two Gaussian distributions, one biased toward sound-first intervals (mean, −80 ms; squares and blue solid curves) and the other toward light-first intervals (mean, +80 ms; open circles and red dashed curves). The two tones were associated with different distributions (sound-first or light-first), and were alternated in blocks of 100 trials in the first experiment (A), but intermingled in the second experiment (B, mixed condition). (C) Shifts in the point of simultaneity in the first experiment, favoring lag adaptation. Each symbol represents 64–640 judgments from eight participants, totaling 6,400 trials. Trial numbers for each symbol are shown in (A). (D) Shifts in the point of simultaneity in the mixed condition (Experiment 2), favoring Bayesian calibration. Each symbol represents 192–1,920 judgments from eight participants, totaling 19,200 trials. Blue and red curves in C and D show the results of model fitting for the pooled data from all participants (maximum likelihood estimation).</p>", "links"=>[], "tags"=>["opposing", "calibrations", "simultaneity", "audiovisual", "temporal"], "article_id"=>282858, "categories"=>["Mathematics", "Biological Sciences", "Neuroscience"], "users"=>["Shinya Yamamoto", "Makoto Miyazaki", "Takayuki Iwano", "Shigeru Kitazawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0040379.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Two_opposing_calibrations_of_simultaneity_in_audiovisual_temporal_order_judgments_/282858", "title"=>"Two opposing calibrations of simultaneity in audiovisual temporal order judgments.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:47:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/612586"], "description"=>"<p>Each symbol represents 192–2,304 judgments from eight participants, totaling 19,200 trials. A black curve shows the result of model fitting for the pooled data from all participants.</p>", "links"=>[], "tags"=>["temporal", "judgments", "stimulation", "intervals"], "article_id"=>283082, "categories"=>["Mathematics", "Biological Sciences", "Neuroscience"], "users"=>["Shinya Yamamoto", "Makoto Miyazaki", "Takayuki Iwano", "Shigeru Kitazawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0040379.g004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Audiovisual_temporal_order_judgments_without_bias_of_stimulation_intervals_Experiment_3_/283082", "title"=>"Audiovisual temporal order judgments without bias of stimulation intervals (Experiment 3).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 02:49:11"}

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Relative Metric

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