Literature DB >> 10652523

Non-verbal numerical cognition: from reals to integers.

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Abstract

Data on numerical processing by verbal (human) and non-verbal (animal and human) subjects are integrated by the hypothesis that a non-verbal counting process represents discrete (countable) quantities by means of magnitudes with scalar variability. These appear to be identical to the magnitudes that represent continuous (uncountable) quantities such as duration. The magnitudes representing countable quantity are generated by a discrete incrementing process, which defines next magnitudes and yields a discrete ordering. In the case of continuous quantities, the continuous accumulation process does not define next magnitudes, so the ordering is also continuous ('dense'). The magnitudes representing both countable and uncountable quantity are arithmetically combined in, for example, the computation of the income to be expected from a foraging patch. Thus, on the hypothesis presented here, the primitive machinery for arithmetic processing works with real numbers (magnitudes).

Entities:  

Year:  2000        PMID: 10652523     DOI: 10.1016/s1364-6613(99)01424-2

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  180 in total

1.  Variability signatures distinguish verbal from nonverbal counting for both large and small numbers.

Authors:  S Cordes; R Gelman; C R Gallistel; J Whalen
Journal:  Psychon Bull Rev       Date:  2001-12

2.  The long and the short of it: on the nature and origin of functional overlap between representations of space and time.

Authors:  Mahesh Srinivasan; Susan Carey
Journal:  Cognition       Date:  2010-08

3.  "Counting" by pigeons: discrimination of the number of biologically relevant sequential events.

Authors:  Rebecca M Rayburn-Reeves; Holly C Miller; Thomas R Zentall
Journal:  Learn Behav       Date:  2010-05       Impact factor: 1.986

Review 4.  Math, monkeys, and the developing brain.

Authors:  Jessica F Cantlon
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

5.  Spatiotemporal dynamics of processing nonsymbolic number: an event-related potential source localization study.

Authors:  Daniel C Hyde; Elizabeth S Spelke
Journal:  Hum Brain Mapp       Date:  2011-08-09       Impact factor: 5.038

6.  Topology-defined units in numerosity perception.

Authors:  Lixia He; Ke Zhou; Tiangang Zhou; Sheng He; Lin Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-28       Impact factor: 11.205

7.  SNARC for numerosities is modulated by comparative instruction (and resembles some non-numerical effects).

Authors:  Katarzyna Patro; Samuel Shaki
Journal:  Cogn Process       Date:  2015-12-29

8.  The number-time interaction depends on relative magnitude in the suprasecond range.

Authors:  Kentaro Yamamoto; Kyoshiro Sasaki; Katsumi Watanabe
Journal:  Cogn Process       Date:  2015-12-08

9.  Nonsymbolic number and cumulative area representations contribute shared and unique variance to symbolic math competence.

Authors:  Stella F Lourenco; Justin W Bonny; Edmund P Fernandez; Sonia Rao
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

10.  Intuitive sense of number correlates with math scores on college-entrance examination.

Authors:  Melissa E Libertus; Darko Odic; Justin Halberda
Journal:  Acta Psychol (Amst)       Date:  2012-10-23
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