Of Colored Numbers and Numbered Colors

Author(s):  
Titia Gebuis ◽  
Tanja C.W. Nijboer ◽  
Maarten J. van der Smagt

Grapheme-color synesthetes experience a specific color when they see a grapheme but they do not report to perceive a grapheme when a color is presented. In this study, we investigate whether color can still evoke number-processes even when a vivid number experience is absent. We used color-number and number-color priming, both revealing faster responses in congruent compared to incongruent conditions. Interestingly, the congruency effect was of similar magnitude for both conditions, and a numerical distance effect was present only in the color-number priming task. In addition, a priming task in which synesthetes had to judge the parity of a colored number revealed faster responses in parity congruent than in parity incongruent trials. These combined results demonstrate that synesthesia is indeed bi-directional and of similar strength in both directions. Furthermore, they illustrate the precise nature of these interactions and show that the direction of these interactions is determined by task demands, not by the more vividly experienced aspect of the stimulus.

2010 ◽  
Author(s):  
Erin A. Maloney ◽  
Evan F. Risko ◽  
Derek Besner ◽  
Jonathan A. Fugelsang

Neuroreport ◽  
2006 ◽  
Vol 17 (10) ◽  
pp. 991-994 ◽  
Author(s):  
Xinlin Zhou ◽  
Chuansheng Chen ◽  
Qi Dong ◽  
Hongchuan Zhang ◽  
Chunhui Chen ◽  
...  

2011 ◽  
Vol 39 (8) ◽  
pp. 1508-1517 ◽  
Author(s):  
Liat Goldfarb ◽  
Avishai Henik ◽  
Orly Rubinsten ◽  
Yafit Bloch-David ◽  
Limor Gertner

2010 ◽  
Vol 134 (2) ◽  
pp. 154-161 ◽  
Author(s):  
Erin A. Maloney ◽  
Evan F. Risko ◽  
Frank Preston ◽  
Daniel Ansari ◽  
Jonathan Fugelsang

2017 ◽  
Author(s):  
Attila Krajcsi ◽  
Petia Kojouharova

In a comparison task, the larger the distance between the two numbers to be compared, the better the performance, a phenomenon termed the numerical distance effect. According to the dominant explanation, the distance effect is rooted in a noisy representation, and performance is proportional to the size of the overlap between the noisy representations of the two values. According to alternative explanations, the distance effect may be rooted in the association between the numbers and the small-large categories, and performance is better when the numbers show relatively high differences in their strength of association with the small-large properties. In everyday number use the value of the numbers and the association between the numbers and the small-large categories strongly correlate, thus, the two explanations have the same predictions for the distance effect. To dissociate the two potential sources of the distance effect, in the present study participants learned new artificial number digits between 1 and 3, and between 7 and 9, thus, leaving out the numbers between 4 and 6. It was found that the omitted number range (the distance between 3 and 7) was considered in the distance effect as 1, and not as 4, suggesting that the distance effect does not follow the values of the numbers predicted by the dominant explanation, but it follows the small-large property association predicted by the alternative explanations.


2009 ◽  
Vol 24 (4) ◽  
pp. 387-400 ◽  
Author(s):  
Sarit Ashkenazi ◽  
Nitza Mark-Zigdon ◽  
Avishai Henik

2020 ◽  
Author(s):  
Mateusz Hohol ◽  
Klaus Willmes ◽  
Edward Nęcka ◽  
Bartosz Brożek ◽  
Hans-Christoph Nuerk ◽  
...  

The numerical distance effect (it is easier to compare numbers that are further apart) and size effect (for a constant distance, it is easier to compare smaller numbers) characterize symbolic number processing. However, evidence for a relationship between these two basic phenomena and more complex mathematical skills is mixed. Previously this relationship has only been studied in participants with normal or poor mathematical skills, not in mathematicians. Furthermore, the prevalence of these effects at the individual level is not known. Here we compared professional mathematicians, engineers, social scientists, and a reference group using the symbolic magnitude classification task with single-digit Arabic numbers. The groups did not differ with respect to symbolic numerical distance and size effects in either frequentist or Bayesian analyses. Moreover, we looked at their prevalence at the individual level using the bootstrapping method: while a reliable numerical distance effect was present in almost all participants, the prevalence of a reliable numerical size effect was much lower. Again, prevalence did not differ between groups. In summary, the phenomena were neither more pronounced nor more prevalent in mathematicians, suggesting that extremely high mathematical skills neither rely on nor have special consequences for analogue processing of symbolic numerical magnitudes.


Sign in / Sign up

Export Citation Format

Share Document