Skip to Main Content

Advertisement

MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination

The Cerebral Basis of Mapping Nonsymbolic Numerical Quantities onto Abstract Symbols: An fMRI Training Study

Journal of Cognitive Neuroscience (2009) 21 (9): 1720–1735.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
Single‐trial interindividual correlation shows semantic and visuospatial networks are fundamental for advanced mathematical learning
  • Mengyi Li
  • Zilong Wang
  • Xiaodan Yu
  • Xinlin Zhou
European Journal of Neuroscience (2024)
Learning artificial number symbols with ordinal and magnitude information
  • Hanna Weiers
  • Matthew Inglis
  • Camilla Gilmore
Royal Society Open Science (2023) 10 (6)
Number symbols are processed more automatically than nonsymbolic numerical magnitudes: Findings from a Symbolic-Nonsymbolic Stroop task
  • H. Moriah Sokolowski
  • Zachary Hawes
  • Tali Leibovich-Raveh
  • Daniel Ansari
Acta Psychologica (2022) 228: 103644.
Neural representations of absolute and relative magnitudes in symbolic and nonsymbolic formats
  • Parnika Bhatia
  • Léa Longo
  • Hanna Chesnokova
  • Jérôme Prado
Cerebral Cortex (2022) 32 (21): 4733.
The neuroscience of advanced scientific concepts
  • Robert A. Mason
  • Reinhard A. Schumacher
  • Marcel Adam Just
npj Science of Learning (2021) 6 (1)
Probing the mechanisms underlying numerosity-to-numeral mappings and their relation to math competence
  • Darren J. Yeo
  • Gavin R. Price
Psychological Research (2021) 85 (3): 1248.
Symbols Are Special: An fMRI Adaptation Study of Symbolic, Nonsymbolic, and Non-Numerical Magnitude Processing in the Human Brain
  • H Moriah Sokolowski
  • Zachary Hawes
  • Lien Peters
  • Daniel Ansari
Cerebral Cortex Communications (2021) 2 (3)
Mapping letters to numbers: Potential mechanisms of literal symbol processing
  • Courtney Pollack
  • Gavin R. Price
Learning and Individual Differences (2020) 77: 101809.
Spatial complexity facilitates ordinal mapping with a novel symbol set
  • Christine Podwysocki
  • Robert A. Reeve
  • Jacob M. Paul
  • Jason D. Forte
  • Jérôme Prado
PLOS ONE (2020) 15 (3): e0230559.
Same-different judgments with alphabetic characters: The case of literal symbol processing
  • Courtney Pollack
Journal of Numerical Cognition (2019) 5 (2): 241.
Malleability of mappings between Arabic numerals and approximate quantities: Factors underlying individual differences and the relation to math
  • Darren J. Yeo
  • Eric D. Wilkey
  • Gavin R. Price
Acta Psychologica (2019) 198: 102877.
Multi-method brain imaging reveals impaired representations of number as well as altered connectivity in adults with dyscalculia
  • Jessica Bulthé
  • Jellina Prinsen
  • Jolijn Vanderauwera
  • Stefanie Duyck
  • Nicky Daniels
  • Céline R. Gillebert
  • Dante Mantini
  • Hans P. Op de Beeck
  • Bert De Smedt
NeuroImage (2019) 190: 289.
Learning correspondences between magnitudes, symbols and words: Evidence for a triple code model of arithmetic development
  • Stephanie A. Malone
  • Michelle Heron-Delaney
  • Kelly Burgoyne
  • Charles Hulme
Cognition (2019) 187: 1.
Hippocampal spatial mechanisms relate to the development of arithmetic symbol processing in children
  • Romain Mathieu
  • Justine Epinat-Duclos
  • Jessica Léone
  • Michel Fayol
  • Catherine Thevenot
  • Jérôme Prado
Developmental Cognitive Neuroscience (2018) 30: 324.
Characterizing the neural coding of symbolic quantities
  • Ian M. Lyons
  • Sian L. Beilock
NeuroImage (2018) 178: 503.
The search for the number form area: A functional neuroimaging meta-analysis
  • Darren J. Yeo
  • Eric D. Wilkey
  • Gavin R. Price
Neuroscience & Biobehavioral Reviews (2017) 78: 145.
Primitive Concepts of Number and the Developing Human Brain
  • Alyssa J. Kersey
  • Jessica F. Cantlon
Language Learning and Development (2017) 13 (2): 191.
Physical Similarity or Numerical Representation Counts in Same–Different, Numerical Comparison, Physical Comparison, and Priming Tasks?
  • Li Zhang
  • Ziqiang Xin
  • Tingyong Feng
  • Yinghe Chen
  • Denes Szűcs
Quarterly Journal of Experimental Psychology 17470218.2016.1.
Electrophysiological markers of newly acquired symbolic numerical representations: the role of magnitude and ordinal information
  • Rebecca Merkley
  • Andria Shimi
  • Gaia Scerif
ZDM (2016) 48 (3): 279.
Reconfiguration of parietal circuits with cognitive tutoring in elementary school children
  • Dietsje Jolles
  • Kaustubh Supekar
  • Jennifer Richardson
  • Caitlin Tenison
  • Sarit Ashkenazi
  • Miriam Rosenberg-Lee
  • Lynn Fuchs
  • Vinod Menon
Cortex (2016) 83: 231.
Exploring mental representations for literal symbols using priming and comparison distance effects
  • Courtney Pollack
  • Sibylla Leon Guerrero
  • Jon R. Star
ZDM (2016) 48 (3): 291.
Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning
  • Dietsje Jolles
  • Demian Wassermann
  • Ritika Chokhani
  • Jennifer Richardson
  • Caitlin Tenison
  • Roland Bammer
  • Lynn Fuchs
  • Kaustubh Supekar
  • Vinod Menon
Brain Structure and Function (2016) 221 (3): 1337.
Developmental Dyscalculia
  • Jörg-Tobias Kuhn
Zeitschrift für Psychologie (2015) 223 (2): 69.
Continuous visual properties of number influence the formation of novel symbolic representations
  • Rebecca Merkley
  • Gaia Scerif
Quarterly Journal of Experimental Psychology (2015) 68 (9): 1860.
Visual Number Beats Abstract Numerical Magnitude: Format-dependent Representation of Arabic Digits and Dot Patterns in Human Parietal Cortex
  • Jessica Bulthé
  • Bert De Smedt
  • Hans P. Op de Beeck
Journal of Cognitive Neuroscience (2015) 27 (7): 1376.
Qualitatively different coding of symbolic and nonsymbolic numbers in the human brain
  • Ian M. Lyons
  • Daniel Ansari
  • Sian L. Beilock
Human Brain Mapping (2015) 36 (2): 475.
Continuity and change in children's longitudinal neural responses to numbers
  • Robert W. Emerson
  • Jessica F. Cantlon
Developmental Science (2015) 18 (2): 314.
The Role of Intuitive Approximation Skills for School Math Abilities
  • Melissa E. Libertus
Mind, Brain, and Education (2015) 9 (2): 112.
Format-dependent representations of symbolic and non-symbolic numbers in the human cortex as revealed by multi-voxel pattern analyses
  • J. Bulthé
  • B. De Smedt
  • H.P. Op de Beeck
NeuroImage (2014) 87: 311.
Cortical activation patterns during subitizing and counting
  • Elli Vuokko
  • Markku Niemivirta
  • Päivi Helenius
Brain Research (2013) 1497: 40.
Single-digit Arabic numbers do not automatically activate magnitude representations in adults or in children: Evidence from the symbolic same–different task
  • Becky Wong
  • Dénes Szücs
Acta Psychologica (2013) 144 (3): 488.
Semantic and Perceptual Processing of Number Symbols: Evidence from a Cross-linguistic fMRI Adaptation Study
  • Ian D. Holloway
  • Christian Battista
  • Stephan E. Vogel
  • Daniel Ansari
Journal of Cognitive Neuroscience (2013) 25 (3): 388.
The Invisible Link: Using State Space Representations to Investigate the Connection Between Variables and Their Referents
  • Courtney Pollack
Mind, Brain, and Education (2012) 6 (3): 156.
Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols
  • Hui Zhao
  • Chuansheng Chen
  • Hongchuan Zhang
  • Xinlin Zhou
  • Leilei Mei
  • Chunhui Chen
  • Lan Chen
  • Zhongyu Cao
  • Qi Dong
  • Elkan Akyürek
PLoS ONE (2012) 7 (11): e49565.
Numerical ordering ability mediates the relation between number-sense and arithmetic competence
  • Ian M. Lyons
  • Sian L. Beilock
Cognition (2011) 121 (2): 256.
Non-abstract numerical representations in the IPS: Further support, challenges, and clarifications
  • Roi Cohen Kadosh
  • Vincent Walsh
Behavioral and Brain Sciences (2009) 32 (3-4): 356.
Symbolic, numeric, and magnitude representations in the parietal cortex
  • Miriam Rosenberg-Lee
  • Jessica M. Tsang
  • Vinod Menon
Behavioral and Brain Sciences (2009) 32 (3-4): 350.

Advertisement

  • Online ISSN 1530-8898
  • Print ISSN 0898-929X
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept