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

Proceedings of the National Academy of Sciences of the United States of America

Volumn 109, Issue 46, 2012, Pages 18737-18742

  Lourenco, Stella F ^a   Bonny, Justin W ^a   Fernandez, Edmund P ^a   Rao, Sonia ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

Analog magnitude; Estimation; Mathematical cognition; Nonsymbolic magnitude precision; Weber's law

Indexed keywords

ACCURACY; ARITHMETIC; ARTICLE; ARTIFICIAL NEURAL NETWORK; COGNITION; COLLEGE STUDENT; GEOMETRY; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; QUANTITATIVE STUDY; TASK PERFORMANCE;

ADOLESCENT; ADULT; COMPREHENSION; FEMALE; HUMANS; MALE; MATHEMATICS; PROBLEM SOLVING;

ANIMALIA;

EID: 84869210288     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1207212109     Document Type: Article

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