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Numerical cognition in children with cerebral palsy

Research in Developmental Disabilities, 2021
Children with Cerebral Palsy (CP) often perform poorly in mathematics. It is not yet clear to what extent mathematics difficulties in this clinical condition are similar to those observed in developmental dyscalculia. To better elucidate this issue, we conducted an exploratory cross-sectional study with a sample of children and adolescents with ...
Silvia Cristina de Freitas Feldberg   +5 more
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Culture and Numerical Cognition

2022
Abstract The basic ability to encode numerical information and discriminate numerical quantity can be found in humans as well as certain nonhuman primates. However, humans are unique in that they can perform advanced numerical computation using abstract numerical symbols and number words after receiving formal mathematical instruction ...
Rongxiang Tang, Yi-Yuan Tang
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Numerical Cognition during Cognitive Aging

2014
AbstractThis chapter provides an overview of age-related changes and stabilities in numerical cognition. For each component (i.e. approximate and exact number system, quantification, and arithmetic) of numerical cognition, we review changes in participants’ performance during normal and pathological aging in a wide variety of tasks (e.g.
Kim Uittenhove, Patrick Lemaire
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Numerical Cognition

2019
Numerical Cognition: The Basics provides an understanding of the neural and cognitive mechanisms that enable us to perceive, process, and memorize numerical information.Starting from basic numerical competencies that humans share with other species, the book explores the mental coding of numbers and their neural representation.
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Toward an integrative approach to numerical cognition

Behavioral and Brain Sciences, 2017
AbstractIn response to the commentaries, we have refined our suggested model and discussed ways in which the model could be further expanded. In this context, we have elaborated on the role of specific continuous magnitudes. We have also found it important to devote a section to evidence considered the “smoking gun” of the approximate number system ...
Tali Leibovich   +3 more
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Multiple spatial mappings in numerical cognition.

Journal of Experimental Psychology: Human Perception and Performance, 2012
A recent cross-cultural comparison (Shaki, Fischer, & Petrusic, 2009) suggested that spatially consistent processing habits for words and numbers are a necessary condition for the spatial representation of numbers (Spatial-Numerical Association of Response Codes; SNARC effect).
Shaki, Samuel   +1 more
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Cognitive processes of numerical estimation in children

Journal of Experimental Child Psychology, 2012
We tested children in Grades 1 to 5, as well as college students, on a number line estimation task and examined latencies and errors to explore the cognitive processes involved in estimation. The developmental trends in estimation were more consistent with the hypothesized shift from logarithmic to linear representation than with an account based on a ...
Mark H, Ashcraft, Alex M, Moore
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Transcranial electrical stimulation and numerical cognition.

Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale, 2016
The effects of transcranial electrical stimulation (tES) have been documented for a variety of mental functions, including numerical cognition. This article first reviews 2 prominent forms of tES, transcranial direct current stimulation (tDCS) and transcranial random noise stimulation (tRNS).
Amar Sarkar, Roi Cohen Kadosh
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Simulative Models to Understand Numerical Cognition

2017
This paper starts from summarizing different methods to study numerical cognition, from comparative to developmental, from experimental to simulative. Then the focus moves to different kinds of simulative models that are introduced together with the example of a simulative model applied to numerical representation and midpoint calculation: Midpoint ...
PONTICORVO, MICHELA   +2 more
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Empowering Cognition by Precisation of Numeric Words

International Journal of Software Science and Computational Intelligence, 2017
Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. The convergence of software and intelligent sciences forms the transdisciplinary field of computational intelligence.
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