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Automatic numerical processing is based on an abstract representation

Published online by Cambridge University Press:  27 August 2009

Dana Ganor-Stern
Dana Ganor-Stern
Affiliation:
Behavioral Science Program, Achva Academic College, M. P. Shikmim, Israel79800. danaga@bgu.ac.il
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Abstract

The goal of the present commentary is to show that past results on automatic numerical processing in different notations are consistent with the idea of an abstract numerical representation. This is done by reviewing the relevant studies and giving alternative explanations to the ones proposed in the target article.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 32 , Issue 3-4 , August 2009 , pp. 337 - 338
Copyright
Copyright © Cambridge University Press 2009

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References

Ansari, D., Fugelsang, J. A., Dhital, B., Venkatraman, V. (2006b) Dissociating response conflict from numerical magnitude processing in the brain: An event-related fMRI study. NeuroImage 32:799–805.CrossRefGoogle Scholar
Cohen Kadosh, R., Cohen Kadosh, K., Linden, D. E. J., Gevers, W., Berger, A. & Henik, A. (2007c) The brain locus of interaction between number and size: A combined functional magnetic resonance imaging and event-related potential study. Journal of Cognitive Neuroscience 19:957–70.CrossRefGoogle Scholar
Cohen Kadosh, R., Henik, A. & Rubinsten, O. (2008e) Are Arabic and verbal numbers processed in different ways? Journal of Experimental Psychology: Learning, Memory and Cognition 34(6):1377–91.Google ScholarPubMed
Dehaene, S. & Akhavein, R. (1995) Attention, automaticity, and levels of representation in number processing. Journal of Experimental Psychology: Learning, Memory, and Cognition 21(2):314–26.Google ScholarPubMed
Fias, W., Brysbaert, M., Geypens, F. & d'Ydewalle, G. (1996) The importance of magnitude information in numerical processing: Evidence from the SNARC effect. Mathematical Cognition 2(1):95–110.CrossRefGoogle Scholar
Fias, W., Lauwereyns, J. & Lammertyn, J. (2001a) Irrelevant digits affect feature-based attention depending on the overlap of neural circuits. Cognitive Brain Research 12:415–23.CrossRefGoogle ScholarPubMed
Ganor-Stern, D. & Tzelgov, J. (2008) Across-notation automatic numerical processing. Journal of Experimental Psychology: Learning, Memory and Cognition 34(2):430–37.Google ScholarPubMed
Ganor-Stern, D., Tzelgov, J. & Ellenbogen, R. (2007) Automaticity and two-digit numbers. Journal of Experimental Psychology: Human Perception and Performance 33(2):483–96.Google ScholarPubMed
Ito, Y. & Hatta, T. (2003) Semantic processing of Arabic, Kanji, and Kana numbers: Evidence from interference in physical and numerical size judgments. Memory and Cognition 31(3):360–68.CrossRefGoogle ScholarPubMed
Nuerk, H. C., Wood, G. & Willmes, K. (2005) The universal SNARC effect: The association between number magnitude and space is amodal. Experimental Psychology 52:187–94.CrossRefGoogle ScholarPubMed
Tzelgov, J., Ganor-Stern, D. & Maymon-Schreiber, K. (2009) The representation of negative numbers: Exploring the effects of mode of processing and notation. Quarterly Journal of Experimental Psychology 62(3):605–24.CrossRefGoogle ScholarPubMed