2011
DOI: 10.3758/s13423-011-0072-2
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Temporal information affects the performance of numerosity discrimination: Behavioral evidence for a shared system for numerosity and temporal processing

Abstract: In this study, we tested whether and how temporal information would affect the performance of numerosity discrimination in sequential events, in an attempt to make the relationship clear between temporal and numerosity processing. We manipulated the duration of event presentation (i.e., the stimulus duration) and the duration of the sequence (i.e., the total interval). We also employed three levels of standard event numbers (i.e., 5, 10, and 20) to test whether and how the effect would differ among event numbe… Show more

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Cited by 19 publications
(25 citation statements)
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References 25 publications
(35 reference statements)
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“…Second, the maximum ISI was carefully determined so that the participants would not make judgments on the basis of verbal counting and/or temporal patterns. To make verbal counting impossible, the longest stimulus interval was set to be less than 250 ms, as previous studies had demonstrated that participants could not rely on verbal or subverbal counting within that duration (e.g., Piazza, Mechelli, Price, & Butterworth, 2006;Tokita & Ishiguchi, 2011). To make the sequence aperiodic, we randomly added temporal jitter (−24, −17, −8, 0, 8, 17, or 24 ms) to each ISI in all cases, so that the temporal rate would not constitute a rhythmic pattern.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Second, the maximum ISI was carefully determined so that the participants would not make judgments on the basis of verbal counting and/or temporal patterns. To make verbal counting impossible, the longest stimulus interval was set to be less than 250 ms, as previous studies had demonstrated that participants could not rely on verbal or subverbal counting within that duration (e.g., Piazza, Mechelli, Price, & Butterworth, 2006;Tokita & Ishiguchi, 2011). To make the sequence aperiodic, we randomly added temporal jitter (−24, −17, −8, 0, 8, 17, or 24 ms) to each ISI in all cases, so that the temporal rate would not constitute a rhythmic pattern.…”
Section: Methodsmentioning
confidence: 99%
“…For example, in time-related tasks such as duration discrimination and empty-interval estimation, performance using auditory presentation was significantly better than that using visual and tactile presentations (e.g., Grondin, 2010). Furthermore, since temporal information affects numerical discrimination (Tokita & Ishiguchi, 2011), the performance of numerical discrimination may differ among modalities.…”
mentioning
confidence: 99%
“…Finally, time and number sense (for review see Allman et al, 2011) might have developed together, as supported by similar developmental trajectories Cordes & Brannon, 2008;Roitman et al, 2007; but see Yates, 2012), by behavioural evidence of magnitude/processing interference between temporal and numerical dimensions (Javadi & Aichelburg, 2012;Tokita & Ishiguchi, 2011), and by the anatomical proximity of the brain regions involved in time and number processing. For example the parietal cortex is activated by both sub-second temporal information and by numeric information (Castelli et al, 2006;Hayashi et al, 2013a), and lesion studies in parietal cortex indicate its involvement in processing both dimensions (Cappelletti et al, 2011b; see also Bueti & Walsh, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, the ISIs were carefully determined so that the participants would not make judgments on the basis of verbal counting and/or temporal patterns. To make verbal counting impossible, the longest stimulus interval was set to be less than 250 ms, since previous studies have proved that participants cannot rely on verbal or subverbal counting within that duration (e.g., Piazza, Mechelli, Price, & Butterworth, 2006;Tokita & Ishiguchi, 2011).…”
Section: Stimulimentioning
confidence: 99%
“…We measured the Weber fractions of discrimination tasks to assess differences in performance. Many studies have shown that both behavioral and neuronal tuning functions obey the Weber law (i.e., discriminability depends on the Weber ratio of the numerosity to be compared) over a broad range of numerosities (e.g., Burgess & Barlow, 1983;Nieder & Merten, 2007;Piazza, Izard, Pinel, Le Bihan, & Dehaene, 2004;Tokita & Ishiguchi, 2010, 2011. Moreover, some studies have claimed that the Weber fraction could be an indicator of the ability to perform approximate numerosity representation (Halberda, Mazzocco, & Feigenson, 2008).…”
mentioning
confidence: 99%