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Numerical Cognition.

Authors: Noël, Marie-Pascale;

Numerical Cognition.

Abstract

The numerical domain is unique in at least three ways. First, numbers represent a particular aspect of reality (i.e., numerosity). Second, numbers are the object of specific processing such as calculation, parity judgment, magnitude comparison, and so on. And third, numbers can be represented in different formats: Arabic numbers (i.e., digit strings, e.g., 25), written numbers (i.e., letter strings; e.g., twenty-five) or spoken numbers (i.e., sequences of sounds; e.g., TWENTY- FIVE), Roman numerals (XXV), and so on'. These characteristics have raised specific questions. Four of them will be considered in this chapter. First, are there functionally independent systems to process the different formats for numbers? Second, how does the human subject translate a number presented in one format into another format? Third, what are the basic functional components for calculation? And fourth, in which internal code(s) are arithmetic facts stored in memory?

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green