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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.
Journal ArticleDOI
The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network
Hannah Moshontz,Lorne Campbell,Charles R. Ebersole,Hans IJzerman,Heather L. Urry,Patrick S. Forscher,Jon Grahe,Randy J. McCarthy,Erica D. Musser,Jan Antfolk,Christopher M. Castille,Thomas Rhys Evans,Susann Fiedler,Jessica Kay Flake,Diego A. Forero,Steve M. J. Janssen,Justin Robert Keene,John Protzko,Balazs Aczel,Sara Álvarez Solas,Daniel Ansari,Dana Awlia,Ernest Baskin,Carlota Batres,Martha Lucia Borras-Guevara,Cameron Brick,Priyanka Chandel,Armand Chatard,Armand Chatard,William J. Chopik,David Clarance,Nicholas A. Coles,Katherine S. Corker,Barnaby J. W. Dixson,Vilius Dranseika,Yarrow Dunham,Nicholas W. Fox,Gwendolyn Gardiner,S. Mason Garrison,Tripat Gill,Amanda C. Hahn,Bastian Jaeger,Pavol Kačmár,Gwenaël Kaminski,Philipp Kanske,Zoltan Kekecs,Melissa Kline,Monica A. Koehn,Pratibha Kujur,Carmel A. Levitan,Jeremy K. Miller,Ceylan Okan,Jerome Olsen,Oscar Oviedo-Trespalacios,Asil Ali Özdoğru,Babita Pande,Arti Parganiha,Noorshama Parveen,Gerit Pfuhl,Sraddha Pradhan,Ivan Ropovik,Nicholas O. Rule,Blair Saunders,Vidar Schei,Kathleen Schmidt,Margaret Messiah Singh,Miroslav Sirota,Crystal N. Steltenpohl,Stefan Stieger,Daniel Storage,Gavin Brent Sullivan,Anna Szabelska,Christian K. Tamnes,Miguel A. Vadillo,Jaroslava Varella Valentova,Wolf Vanpaemel,Marco Antonio Correa Varella,Evie Vergauwe,Mark Verschoor,Michelangelo Vianello,Martin Voracek,Glenn Patrick Williams,John Paul Wilson,Janis Zickfeld,Jack Arnal,Burak Aydin,Sau-Chin Chen,Lisa M. DeBruine,Ana María Fernández,Kai T. Horstmann,Peder M. Isager,Benedict C. Jones,Aycan Kapucu,Hause Lin,Michael C. Mensink,Gorka Navarrete,Silan Ma,Christopher R. Chartier +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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.