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Daniel Ansari

Researcher at University of Western Ontario

Publications -  110
Citations -  4915

Daniel Ansari is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Numerical cognition & Educational neuroscience. The author has an hindex of 39, co-authored 107 publications receiving 4060 citations. Previous affiliations of Daniel Ansari include Nanyang Technological University.

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How do symbolic and non-symbolic numerical magnitude processing skills relate to individual differences in children's mathematical skills? A review of evidence from brain and behavior

TL;DR: A few neuroimaging studies revealed that brain activation during number comparison correlates with children's mathematics achievement level, but the consistency of such relationships for symbolic and non-symbolic processing is unclear.
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The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network

Hannah Moshontz, +97 more
TL;DR: The Psychological Science Accelerator is a distributed network of laboratories designed to enable and support crowdsourced research projects that will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.
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The effect of mathematics anxiety on the processing of numerical magnitude

TL;DR: Data support the claim that HMA individuals have less precise representations of numerical magnitude than their LMA peers, suggesting that MA is associated with low-level numerical deficits that compromise the development of higher level mathematical skills.
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Effects of problem size and arithmetic operation on brain activation during calculation in children with varying levels of arithmetical fluency

TL;DR: Investigating how brain activation during single-digit addition and subtraction is modulated by problem size and arithmetic operation in children with different levels of arithmetical fluency revealed that particularly the left hippocampus was active during the solution of those problems that are expected to be solved by means of fact retrieval, suggesting a specific role of the hippocampus in the early stages of learning arithmetic facts.
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Symbolic estrangement: evidence against a strong association between numerical symbols and the quantities they represent.

TL;DR: It is shown that accessing a sense of how much a numerical symbol actually represents is a surprisingly difficult and nontrivial process, consistent with the view that numerical symbols operate primarily as an associative system in which relations between symbols come to overshadow those between symbols and their quantity referents.