Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-04T17:34:51.316Z Has data issue: false hasContentIssue false

Symbolic, numeric, and magnitude representations in the parietal cortex

Published online by Cambridge University Press:  27 August 2009

Miriam Rosenberg-Lee
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305. [email protected]@stanford.edu
Jessica M. Tsang
Affiliation:
Stanford University School of Education, AAA Lab, Stanford, CA 94305-2055. [email protected]
Vinod Menon
Affiliation:
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305. [email protected]@stanford.edu Program in Neuroscience, Stanford University School of Medicine, Stanford, CA 94305. [email protected] Symbolic Systems Program, Stanford University, Stanford, CA 94305. [email protected]

Abstract

We concur with Cohen Kadosh & Walsh (CK&W) that representation of numbers in the parietal cortex is format dependent. In addition, we suggest that all formats do not automatically, and equally, access analog magnitude representation in the intraparietal sulcus (IPS). Understanding how development, learning, and context lead to differential access of analog magnitude representation is a key question for future research.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cohen Kadosh, R., Cohen Kadosh, K., Kaas, A., Henik, A. & Goebel, R. (2007b) Notation-dependent and -independent representations of numbers in the parietal lobes. Neuron 53(2):307–14.CrossRefGoogle ScholarPubMed
Dehaene, S., Izard, V., Spelke, E. & Pica, P. (2008) Log or linear? Distinct intuitions of the number scale in Western and Amazonian indigene cultures. Science 320(5880):1217–20.CrossRefGoogle ScholarPubMed
Diester, I. & Nieder, A. (2007) Semantic associations between signs and numerical categories in the prefrontal cortex. PLoS Biology 5(11):e294;2684–95.CrossRefGoogle ScholarPubMed
Ioannidis, J. P. A. (2005) Why most published research findings are false. PLoS Medicine 2(8):696701.CrossRefGoogle ScholarPubMed
Ito, Y. & Hatta, T. (2004) Spatial structure of quantitative representation of numbers: Evidence from the SNARC effect. Memory and Cognition 32(4):662–73.CrossRefGoogle ScholarPubMed
Lyons, I. M. & Ansari, D. (2009) The cerebral basis of mapping non-symbolic numerical quantities onto abstract symbols: An fMRI training study. Journal of Cognitive Neuroscience 21:1720–35.CrossRefGoogle Scholar
Ryali, S. & Menon, V. (2009) Feature selection and classification of fMRI data using logistic regression with L1 norm regularization. Paper presented at the Human Brain Mapping conference, San Francisco, CA. June 18–23.CrossRefGoogle Scholar
Siegler, R. S. & Opfer, J. E. (2003) The development of numerical estimation: Evidence for multiple representations of numerical quantity. Psychological Science 14(3):237–43.CrossRefGoogle ScholarPubMed
Wu, S. S., Chang, T. T., Majid, A., Caspers, S., Eichoff, S. B. & Menon, V.(in press) Functional heterogeneity of inferior parietal cortex during mathematical cognition assessed with cytoarchitectonic probability maps. Cerebral Cortex. [Advance Access published on April 30, 2009. Available at:http://cercor.oxfordjournals.org/cgi/content/full/bhp063v1]Google Scholar