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Systems Neuroscience of Mathematical Cognition and Learning

Abstract : In this chapter, we take a systems neuroscience approach and review neurocognitive systems involved in mathematical cognition and learning, highlighting functional brain circuits that support these processes and sources of heterogeneity that influence their typical or atypical development. We first examine the core neural building blocks of numerical cognition anchored in posterior parietal and ventral temporal–occipital cortices and then describe how working memory, language, declarative memory, and cognitive control systems facilitate numerical problem-solving and help scaffold mathematical learning and skill acquisition. We then highlight the contribution of interactive functional circuits to mathematical cognition and learning at different stages of development and skill levels. We suggest that mathematical knowledge serves as a model domain for investigating the ontogenesis of human cognitive and problem-solving skills, and that a systems neuroscience framework can shed light on why some individuals excel and others struggle.
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https://halshs.archives-ouvertes.fr/halshs-02960614
Contributor : Teresa Iuculano <>
Submitted on : Wednesday, October 7, 2020 - 6:33:54 PM
Last modification on : Friday, February 26, 2021 - 5:58:02 PM

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Teresa Iuculano, Aarthi Padmanabhan, Vinod Menon. Systems Neuroscience of Mathematical Cognition and Learning. Heterogeneity of Function in Numerical Cognition, Elsevier, pp.287-336, 2018, ⟨10.1016/B978-0-12-811529-9.00015-7⟩. ⟨halshs-02960614⟩

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