The Oxford Handbook of Numerical Cognition
Herausgeber: Cohen Kadosh, Roi; Dowker, Ann
The Oxford Handbook of Numerical Cognition
Herausgeber: Cohen Kadosh, Roi; Dowker, Ann
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Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. This handbook brings together the different research areas that make up the vibrant field of numerical cognition in one comprehensive and authoritative volume.
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Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. This handbook brings together the different research areas that make up the vibrant field of numerical cognition in one comprehensive and authoritative volume.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Oxford Library of Psychology
- Verlag: Oxford University Press
- Seitenzahl: 1212
- Erscheinungstermin: 24. Januar 2017
- Englisch
- Abmessung: 261mm x 172mm x 2mm
- Gewicht: 1782g
- ISBN-13: 9780198795759
- ISBN-10: 0198795750
- Artikelnr.: 47867028
- Oxford Library of Psychology
- Verlag: Oxford University Press
- Seitenzahl: 1212
- Erscheinungstermin: 24. Januar 2017
- Englisch
- Abmessung: 261mm x 172mm x 2mm
- Gewicht: 1782g
- ISBN-13: 9780198795759
- ISBN-10: 0198795750
- Artikelnr.: 47867028
Roi Cohen Kadosh is a Wellcome RCD Fellow at the University of Oxford. His work combines basic and applied science, with focus on high level cognitive abilities and cognitive enhancement. At the theoretical level, his work challenges and revises previous theories in mathematical cognition with implications to psychology, neuroscience and education. At the translational level his work is in the forefront in integrating brain stimulation with enhancement of high-level and complex cognitive functions, such as mathematical abilities. His work does not only focus on research but also discusses the ethical implications of his research. He is actively involved in policy making. His pioneering work has received prestigious awards in the fields of neuroscience and psychology, and coverage by leading media channels (e.g., BBC, CNN, Science Magazine, Nature, Scientific American, Time Magazine). Ann Dowker is a University Research Lecturer at the Department of Experimental Psychology, University of Oxford, UK. She has carried out extensive research on developmental psychology and individual differences, especially with regard to mathematical learning. Her interests include the effects of culture and language on mathematics; mathematics anxiety; links between neuroscience and education; and the development of intervention programs for children with mathematical difficulties. She is the lead researcher on the Catch Up Numeracy Intervention project.
* Section I: Introduction
* 1: Chris J. Budd: Promoting maths to the general public
* 2: Marcus Giaquinto: Philosophy of math
* Section II: human cognition
* 3: Oliver Lindemann and Martin H. Fischer: Cognitive Foundations of
Human Number Representations and Mental Arithmetic
* 4: Joseph Tzelgov, Dana Ganor-Stern, Arava Kallai, and Michal Pinhas:
Primitives and non-primitives of numerical representations
* 5: Michael Andres and Mauro Pesenti: Finger-based representation of
mental arithmetic
* 6: Jean-Philippe van Dijck, Véronique Ginsburg, Luisa Girelli and Wim
Gevers: Linking Numbers to Space: From the Mental Number Line towards
a Hybrid Account
* 7: Hans-Christoph Nuerk, H.-C., Moeller, and Klaus Willmes:
Multi-digit Number Processing: Overview, Conceptual Clarifications,
and Language Influences
* 8: Jamie I.D. Cambell: How Abstract is Arithmetic?
* 9: Catherine Thevenot and Pierre Barrouillet: Arithmetic Word Problem
Solving and Mental Representations
* 10: Kinga Morsanyi and Denes Szucs: Intuition in mathematical and
probabilistic reasoning
* Section III: Phylogeny and Ontogeny of Mathematical and Numerical
understanding
* 11: Elizabeth M. Brannon and Joonkoo Park: Phylogeny and Ontogeny of
Mathematical and Numerical Understanding
* 12: Christian Agrillo: Numerical and Arithmetic abilities in
non-primate species
* 13: Michael J. Beran, Bonnie M. Perdue, and Theodore A. Evans: Monkey
Mathematical Abilities
* 14: Koleen McCrink and Wesley Birdsall: Numerical Abilities and
Arithmetic in Infancy
* 15: Minna M. Hannula-Sormunen: Spontaneous focusing on numerosity and
its relation to counting and arithmetic
* 16: Barbara W. Sarnecka, Meghan C. Goldman, Emily B. Slusser: How
Counting Leads to Children's First Representations of Exact, Large
Numbers
* 17: Camilla Gilmore: Approximate arithmetic abilities in childhood
* 18: Titia Gebuis and Bert Reynvoet: Numerosity and mathematical
development
* 19: Kim Uittenhove and Patrick Lemaire: Numerical Cognition during
Cognitive Aging
* Section IV: Culture and Language
* 20: Geoffrey B. Saxe: Culture, Language, and Number
* 21: John N. Towse, Kevin Muldoon, Victoria Simms: Cross-cultural
differences in numerical competence
* 22: Yukari Okamoto: Mathematics learning in the USA and Japan:
influences of language
* 23: Linda Sturman: What international comparisons such as TIMSS have
shown about national differences in mathematics, and how these might
be explained
* Section V: Neuroscience of Mathematics
* 24: Roi Cohen Kadosh: Neuroscience
* 25: Andreas Nieder: Single-cell neurophysiology in monkeys
* 26: Liane Kaufmann, Karin Kucian, and Michael von Aster: The
development of the numerical brain
* 27: Vinod Menon: Arithmetic in the child and adult brain
* 28: Ian D. Holloway and Daniel Ansari: Numerical Symbols: An Overview
of Their Cognitive and Neural Underpinnings
* 29: Vincent Walsh: A theory of magnitude (ATOM) re-evaluated
* 30: Tom Verguts: Basic number representations: From computational
modelling to neuroimaging
* 31: Elena Salillas and Carlo Semenza: Mapping the Brain for Math:
Reversible Inactivation by Direct Cortical Electrostimulation and
Transcranial Magnetic Stimulation
* 32: 1. Bert De Smedt and Roland H. Grabner: Applications of
Neuroscience to Mathematics Education
* Section VI: Numerical Impairments, co-morbidity, and rehabilitation
* 33: Marie-Pascale Noël: When Number Processing and Calculation Is Not
Your Cup of Tea
* 34: Brian Butterworth, Sashank Varma, and Diana Laurillard:
Dyscalculia: From Brain to Education
* 35: Avishai Henik, Orly Rubinsten, and Sarit Ashkenazi: Developmental
Dyscalculia as a heterogeneous disability
* 36: Silke M. Göbel: Number Processing and Arithmetic in Children and
Adults with Reading Difficulties
* 37: Jo Van Herwegen and Annette Karmiloff-Smith: Genetic
developmental disorders and numerical competence across the lifespan
* 38: Karin Kucian, Liane Kaufmann, and Michael von Aster: Brain
Correlates of Numerical Disabilities
* 39: Pekka Räsänen: Computer-assisted Interventions on Basic Number
* 40: David C. Geary: The Classification and Cognitive Characteristics
of Mathematical Disabilities in Children
* 41: Julie Castronovo: Numbers in the Dark: Numerical cognition and
blindness
* 42: Marinella Cappelletti: The Neuropsychology of Acquired Number and
Calculation Disorders
* 43: L. Zamarian and Margarete Delazer: Arithmetic Learning in Adults
- Evidence from Brain Imaging
* Section VII: Individual Differences
* 44: Chris Donlan: Individual Differences
* 45: Ann Dowker: Individual Differences in Arithmetical Abilities: The
Componential Nature of Arithmetic
* 46: Jo-Anne LeFevre, Emma Wells, and Carla Sowinski: Individual
Differences in Basic Arithmetical Processes in Children and Adults
* 47: Annemie Desoete: Cognitive predictors of mathematical abilities
and disabilities
* 48: Alex M. Moore, Nathan O. Rudig, and Mark H. Ashcraft: Affect,
Motivation, Working Memory, and Mathematics
* 49: L. Verschaffel, F. Depaepe, and W. Van Dooren: Individual
differences in word problem solving
* 50: Julie Ann Jordan: Individual Differences in Children's Paths to
Arithmetical Development
* 51: Maria G. Tosto, Claire M. A. Haworth, and Yulia Kovas:
Behavioural Genomics of Mathematics
* Section VIII: Education
* 52: Richard Cowan: Education
* 53: Karen C. Fuson, Aki Murata, and Dor Abrahamson: Using Learning
Path Research to Balance Mathematics Education: Teaching/Learning for
Understanding and Fluency
* 54: Herbert P. Ginsburg, Rachael Labrecque, Kara Carpenter, and Dana
Pagar: New Possibilities for Early Mathematics Education: Cognitive
Guidelines for Designing High-Quality Software to Promote Young
Children's Meaningful Mathematics Learning
* 55: Nancy C. Jordan, Lynn S. Fuchs, Nancy Dyson: Early Number
Competencies and Mathematical Learning: Individual Variation,
Screening, and Intervention
* 56: Nick Dowrick: Every Child Counts: effects of intervention for
children struggling with mathematics
* 57: Bethany Rittle-Johnson and Michael Schneider: Developing
Conceptual and Procedural Knowledge of Mathematics: An Updated Review
* 58: Geetha B. Ramani, Robert S. Siegler: What experiences can improve
mathematical performance?
* 1: Chris J. Budd: Promoting maths to the general public
* 2: Marcus Giaquinto: Philosophy of math
* Section II: human cognition
* 3: Oliver Lindemann and Martin H. Fischer: Cognitive Foundations of
Human Number Representations and Mental Arithmetic
* 4: Joseph Tzelgov, Dana Ganor-Stern, Arava Kallai, and Michal Pinhas:
Primitives and non-primitives of numerical representations
* 5: Michael Andres and Mauro Pesenti: Finger-based representation of
mental arithmetic
* 6: Jean-Philippe van Dijck, Véronique Ginsburg, Luisa Girelli and Wim
Gevers: Linking Numbers to Space: From the Mental Number Line towards
a Hybrid Account
* 7: Hans-Christoph Nuerk, H.-C., Moeller, and Klaus Willmes:
Multi-digit Number Processing: Overview, Conceptual Clarifications,
and Language Influences
* 8: Jamie I.D. Cambell: How Abstract is Arithmetic?
* 9: Catherine Thevenot and Pierre Barrouillet: Arithmetic Word Problem
Solving and Mental Representations
* 10: Kinga Morsanyi and Denes Szucs: Intuition in mathematical and
probabilistic reasoning
* Section III: Phylogeny and Ontogeny of Mathematical and Numerical
understanding
* 11: Elizabeth M. Brannon and Joonkoo Park: Phylogeny and Ontogeny of
Mathematical and Numerical Understanding
* 12: Christian Agrillo: Numerical and Arithmetic abilities in
non-primate species
* 13: Michael J. Beran, Bonnie M. Perdue, and Theodore A. Evans: Monkey
Mathematical Abilities
* 14: Koleen McCrink and Wesley Birdsall: Numerical Abilities and
Arithmetic in Infancy
* 15: Minna M. Hannula-Sormunen: Spontaneous focusing on numerosity and
its relation to counting and arithmetic
* 16: Barbara W. Sarnecka, Meghan C. Goldman, Emily B. Slusser: How
Counting Leads to Children's First Representations of Exact, Large
Numbers
* 17: Camilla Gilmore: Approximate arithmetic abilities in childhood
* 18: Titia Gebuis and Bert Reynvoet: Numerosity and mathematical
development
* 19: Kim Uittenhove and Patrick Lemaire: Numerical Cognition during
Cognitive Aging
* Section IV: Culture and Language
* 20: Geoffrey B. Saxe: Culture, Language, and Number
* 21: John N. Towse, Kevin Muldoon, Victoria Simms: Cross-cultural
differences in numerical competence
* 22: Yukari Okamoto: Mathematics learning in the USA and Japan:
influences of language
* 23: Linda Sturman: What international comparisons such as TIMSS have
shown about national differences in mathematics, and how these might
be explained
* Section V: Neuroscience of Mathematics
* 24: Roi Cohen Kadosh: Neuroscience
* 25: Andreas Nieder: Single-cell neurophysiology in monkeys
* 26: Liane Kaufmann, Karin Kucian, and Michael von Aster: The
development of the numerical brain
* 27: Vinod Menon: Arithmetic in the child and adult brain
* 28: Ian D. Holloway and Daniel Ansari: Numerical Symbols: An Overview
of Their Cognitive and Neural Underpinnings
* 29: Vincent Walsh: A theory of magnitude (ATOM) re-evaluated
* 30: Tom Verguts: Basic number representations: From computational
modelling to neuroimaging
* 31: Elena Salillas and Carlo Semenza: Mapping the Brain for Math:
Reversible Inactivation by Direct Cortical Electrostimulation and
Transcranial Magnetic Stimulation
* 32: 1. Bert De Smedt and Roland H. Grabner: Applications of
Neuroscience to Mathematics Education
* Section VI: Numerical Impairments, co-morbidity, and rehabilitation
* 33: Marie-Pascale Noël: When Number Processing and Calculation Is Not
Your Cup of Tea
* 34: Brian Butterworth, Sashank Varma, and Diana Laurillard:
Dyscalculia: From Brain to Education
* 35: Avishai Henik, Orly Rubinsten, and Sarit Ashkenazi: Developmental
Dyscalculia as a heterogeneous disability
* 36: Silke M. Göbel: Number Processing and Arithmetic in Children and
Adults with Reading Difficulties
* 37: Jo Van Herwegen and Annette Karmiloff-Smith: Genetic
developmental disorders and numerical competence across the lifespan
* 38: Karin Kucian, Liane Kaufmann, and Michael von Aster: Brain
Correlates of Numerical Disabilities
* 39: Pekka Räsänen: Computer-assisted Interventions on Basic Number
* 40: David C. Geary: The Classification and Cognitive Characteristics
of Mathematical Disabilities in Children
* 41: Julie Castronovo: Numbers in the Dark: Numerical cognition and
blindness
* 42: Marinella Cappelletti: The Neuropsychology of Acquired Number and
Calculation Disorders
* 43: L. Zamarian and Margarete Delazer: Arithmetic Learning in Adults
- Evidence from Brain Imaging
* Section VII: Individual Differences
* 44: Chris Donlan: Individual Differences
* 45: Ann Dowker: Individual Differences in Arithmetical Abilities: The
Componential Nature of Arithmetic
* 46: Jo-Anne LeFevre, Emma Wells, and Carla Sowinski: Individual
Differences in Basic Arithmetical Processes in Children and Adults
* 47: Annemie Desoete: Cognitive predictors of mathematical abilities
and disabilities
* 48: Alex M. Moore, Nathan O. Rudig, and Mark H. Ashcraft: Affect,
Motivation, Working Memory, and Mathematics
* 49: L. Verschaffel, F. Depaepe, and W. Van Dooren: Individual
differences in word problem solving
* 50: Julie Ann Jordan: Individual Differences in Children's Paths to
Arithmetical Development
* 51: Maria G. Tosto, Claire M. A. Haworth, and Yulia Kovas:
Behavioural Genomics of Mathematics
* Section VIII: Education
* 52: Richard Cowan: Education
* 53: Karen C. Fuson, Aki Murata, and Dor Abrahamson: Using Learning
Path Research to Balance Mathematics Education: Teaching/Learning for
Understanding and Fluency
* 54: Herbert P. Ginsburg, Rachael Labrecque, Kara Carpenter, and Dana
Pagar: New Possibilities for Early Mathematics Education: Cognitive
Guidelines for Designing High-Quality Software to Promote Young
Children's Meaningful Mathematics Learning
* 55: Nancy C. Jordan, Lynn S. Fuchs, Nancy Dyson: Early Number
Competencies and Mathematical Learning: Individual Variation,
Screening, and Intervention
* 56: Nick Dowrick: Every Child Counts: effects of intervention for
children struggling with mathematics
* 57: Bethany Rittle-Johnson and Michael Schneider: Developing
Conceptual and Procedural Knowledge of Mathematics: An Updated Review
* 58: Geetha B. Ramani, Robert S. Siegler: What experiences can improve
mathematical performance?
* Section I: Introduction
* 1: Chris J. Budd: Promoting maths to the general public
* 2: Marcus Giaquinto: Philosophy of math
* Section II: human cognition
* 3: Oliver Lindemann and Martin H. Fischer: Cognitive Foundations of
Human Number Representations and Mental Arithmetic
* 4: Joseph Tzelgov, Dana Ganor-Stern, Arava Kallai, and Michal Pinhas:
Primitives and non-primitives of numerical representations
* 5: Michael Andres and Mauro Pesenti: Finger-based representation of
mental arithmetic
* 6: Jean-Philippe van Dijck, Véronique Ginsburg, Luisa Girelli and Wim
Gevers: Linking Numbers to Space: From the Mental Number Line towards
a Hybrid Account
* 7: Hans-Christoph Nuerk, H.-C., Moeller, and Klaus Willmes:
Multi-digit Number Processing: Overview, Conceptual Clarifications,
and Language Influences
* 8: Jamie I.D. Cambell: How Abstract is Arithmetic?
* 9: Catherine Thevenot and Pierre Barrouillet: Arithmetic Word Problem
Solving and Mental Representations
* 10: Kinga Morsanyi and Denes Szucs: Intuition in mathematical and
probabilistic reasoning
* Section III: Phylogeny and Ontogeny of Mathematical and Numerical
understanding
* 11: Elizabeth M. Brannon and Joonkoo Park: Phylogeny and Ontogeny of
Mathematical and Numerical Understanding
* 12: Christian Agrillo: Numerical and Arithmetic abilities in
non-primate species
* 13: Michael J. Beran, Bonnie M. Perdue, and Theodore A. Evans: Monkey
Mathematical Abilities
* 14: Koleen McCrink and Wesley Birdsall: Numerical Abilities and
Arithmetic in Infancy
* 15: Minna M. Hannula-Sormunen: Spontaneous focusing on numerosity and
its relation to counting and arithmetic
* 16: Barbara W. Sarnecka, Meghan C. Goldman, Emily B. Slusser: How
Counting Leads to Children's First Representations of Exact, Large
Numbers
* 17: Camilla Gilmore: Approximate arithmetic abilities in childhood
* 18: Titia Gebuis and Bert Reynvoet: Numerosity and mathematical
development
* 19: Kim Uittenhove and Patrick Lemaire: Numerical Cognition during
Cognitive Aging
* Section IV: Culture and Language
* 20: Geoffrey B. Saxe: Culture, Language, and Number
* 21: John N. Towse, Kevin Muldoon, Victoria Simms: Cross-cultural
differences in numerical competence
* 22: Yukari Okamoto: Mathematics learning in the USA and Japan:
influences of language
* 23: Linda Sturman: What international comparisons such as TIMSS have
shown about national differences in mathematics, and how these might
be explained
* Section V: Neuroscience of Mathematics
* 24: Roi Cohen Kadosh: Neuroscience
* 25: Andreas Nieder: Single-cell neurophysiology in monkeys
* 26: Liane Kaufmann, Karin Kucian, and Michael von Aster: The
development of the numerical brain
* 27: Vinod Menon: Arithmetic in the child and adult brain
* 28: Ian D. Holloway and Daniel Ansari: Numerical Symbols: An Overview
of Their Cognitive and Neural Underpinnings
* 29: Vincent Walsh: A theory of magnitude (ATOM) re-evaluated
* 30: Tom Verguts: Basic number representations: From computational
modelling to neuroimaging
* 31: Elena Salillas and Carlo Semenza: Mapping the Brain for Math:
Reversible Inactivation by Direct Cortical Electrostimulation and
Transcranial Magnetic Stimulation
* 32: 1. Bert De Smedt and Roland H. Grabner: Applications of
Neuroscience to Mathematics Education
* Section VI: Numerical Impairments, co-morbidity, and rehabilitation
* 33: Marie-Pascale Noël: When Number Processing and Calculation Is Not
Your Cup of Tea
* 34: Brian Butterworth, Sashank Varma, and Diana Laurillard:
Dyscalculia: From Brain to Education
* 35: Avishai Henik, Orly Rubinsten, and Sarit Ashkenazi: Developmental
Dyscalculia as a heterogeneous disability
* 36: Silke M. Göbel: Number Processing and Arithmetic in Children and
Adults with Reading Difficulties
* 37: Jo Van Herwegen and Annette Karmiloff-Smith: Genetic
developmental disorders and numerical competence across the lifespan
* 38: Karin Kucian, Liane Kaufmann, and Michael von Aster: Brain
Correlates of Numerical Disabilities
* 39: Pekka Räsänen: Computer-assisted Interventions on Basic Number
* 40: David C. Geary: The Classification and Cognitive Characteristics
of Mathematical Disabilities in Children
* 41: Julie Castronovo: Numbers in the Dark: Numerical cognition and
blindness
* 42: Marinella Cappelletti: The Neuropsychology of Acquired Number and
Calculation Disorders
* 43: L. Zamarian and Margarete Delazer: Arithmetic Learning in Adults
- Evidence from Brain Imaging
* Section VII: Individual Differences
* 44: Chris Donlan: Individual Differences
* 45: Ann Dowker: Individual Differences in Arithmetical Abilities: The
Componential Nature of Arithmetic
* 46: Jo-Anne LeFevre, Emma Wells, and Carla Sowinski: Individual
Differences in Basic Arithmetical Processes in Children and Adults
* 47: Annemie Desoete: Cognitive predictors of mathematical abilities
and disabilities
* 48: Alex M. Moore, Nathan O. Rudig, and Mark H. Ashcraft: Affect,
Motivation, Working Memory, and Mathematics
* 49: L. Verschaffel, F. Depaepe, and W. Van Dooren: Individual
differences in word problem solving
* 50: Julie Ann Jordan: Individual Differences in Children's Paths to
Arithmetical Development
* 51: Maria G. Tosto, Claire M. A. Haworth, and Yulia Kovas:
Behavioural Genomics of Mathematics
* Section VIII: Education
* 52: Richard Cowan: Education
* 53: Karen C. Fuson, Aki Murata, and Dor Abrahamson: Using Learning
Path Research to Balance Mathematics Education: Teaching/Learning for
Understanding and Fluency
* 54: Herbert P. Ginsburg, Rachael Labrecque, Kara Carpenter, and Dana
Pagar: New Possibilities for Early Mathematics Education: Cognitive
Guidelines for Designing High-Quality Software to Promote Young
Children's Meaningful Mathematics Learning
* 55: Nancy C. Jordan, Lynn S. Fuchs, Nancy Dyson: Early Number
Competencies and Mathematical Learning: Individual Variation,
Screening, and Intervention
* 56: Nick Dowrick: Every Child Counts: effects of intervention for
children struggling with mathematics
* 57: Bethany Rittle-Johnson and Michael Schneider: Developing
Conceptual and Procedural Knowledge of Mathematics: An Updated Review
* 58: Geetha B. Ramani, Robert S. Siegler: What experiences can improve
mathematical performance?
* 1: Chris J. Budd: Promoting maths to the general public
* 2: Marcus Giaquinto: Philosophy of math
* Section II: human cognition
* 3: Oliver Lindemann and Martin H. Fischer: Cognitive Foundations of
Human Number Representations and Mental Arithmetic
* 4: Joseph Tzelgov, Dana Ganor-Stern, Arava Kallai, and Michal Pinhas:
Primitives and non-primitives of numerical representations
* 5: Michael Andres and Mauro Pesenti: Finger-based representation of
mental arithmetic
* 6: Jean-Philippe van Dijck, Véronique Ginsburg, Luisa Girelli and Wim
Gevers: Linking Numbers to Space: From the Mental Number Line towards
a Hybrid Account
* 7: Hans-Christoph Nuerk, H.-C., Moeller, and Klaus Willmes:
Multi-digit Number Processing: Overview, Conceptual Clarifications,
and Language Influences
* 8: Jamie I.D. Cambell: How Abstract is Arithmetic?
* 9: Catherine Thevenot and Pierre Barrouillet: Arithmetic Word Problem
Solving and Mental Representations
* 10: Kinga Morsanyi and Denes Szucs: Intuition in mathematical and
probabilistic reasoning
* Section III: Phylogeny and Ontogeny of Mathematical and Numerical
understanding
* 11: Elizabeth M. Brannon and Joonkoo Park: Phylogeny and Ontogeny of
Mathematical and Numerical Understanding
* 12: Christian Agrillo: Numerical and Arithmetic abilities in
non-primate species
* 13: Michael J. Beran, Bonnie M. Perdue, and Theodore A. Evans: Monkey
Mathematical Abilities
* 14: Koleen McCrink and Wesley Birdsall: Numerical Abilities and
Arithmetic in Infancy
* 15: Minna M. Hannula-Sormunen: Spontaneous focusing on numerosity and
its relation to counting and arithmetic
* 16: Barbara W. Sarnecka, Meghan C. Goldman, Emily B. Slusser: How
Counting Leads to Children's First Representations of Exact, Large
Numbers
* 17: Camilla Gilmore: Approximate arithmetic abilities in childhood
* 18: Titia Gebuis and Bert Reynvoet: Numerosity and mathematical
development
* 19: Kim Uittenhove and Patrick Lemaire: Numerical Cognition during
Cognitive Aging
* Section IV: Culture and Language
* 20: Geoffrey B. Saxe: Culture, Language, and Number
* 21: John N. Towse, Kevin Muldoon, Victoria Simms: Cross-cultural
differences in numerical competence
* 22: Yukari Okamoto: Mathematics learning in the USA and Japan:
influences of language
* 23: Linda Sturman: What international comparisons such as TIMSS have
shown about national differences in mathematics, and how these might
be explained
* Section V: Neuroscience of Mathematics
* 24: Roi Cohen Kadosh: Neuroscience
* 25: Andreas Nieder: Single-cell neurophysiology in monkeys
* 26: Liane Kaufmann, Karin Kucian, and Michael von Aster: The
development of the numerical brain
* 27: Vinod Menon: Arithmetic in the child and adult brain
* 28: Ian D. Holloway and Daniel Ansari: Numerical Symbols: An Overview
of Their Cognitive and Neural Underpinnings
* 29: Vincent Walsh: A theory of magnitude (ATOM) re-evaluated
* 30: Tom Verguts: Basic number representations: From computational
modelling to neuroimaging
* 31: Elena Salillas and Carlo Semenza: Mapping the Brain for Math:
Reversible Inactivation by Direct Cortical Electrostimulation and
Transcranial Magnetic Stimulation
* 32: 1. Bert De Smedt and Roland H. Grabner: Applications of
Neuroscience to Mathematics Education
* Section VI: Numerical Impairments, co-morbidity, and rehabilitation
* 33: Marie-Pascale Noël: When Number Processing and Calculation Is Not
Your Cup of Tea
* 34: Brian Butterworth, Sashank Varma, and Diana Laurillard:
Dyscalculia: From Brain to Education
* 35: Avishai Henik, Orly Rubinsten, and Sarit Ashkenazi: Developmental
Dyscalculia as a heterogeneous disability
* 36: Silke M. Göbel: Number Processing and Arithmetic in Children and
Adults with Reading Difficulties
* 37: Jo Van Herwegen and Annette Karmiloff-Smith: Genetic
developmental disorders and numerical competence across the lifespan
* 38: Karin Kucian, Liane Kaufmann, and Michael von Aster: Brain
Correlates of Numerical Disabilities
* 39: Pekka Räsänen: Computer-assisted Interventions on Basic Number
* 40: David C. Geary: The Classification and Cognitive Characteristics
of Mathematical Disabilities in Children
* 41: Julie Castronovo: Numbers in the Dark: Numerical cognition and
blindness
* 42: Marinella Cappelletti: The Neuropsychology of Acquired Number and
Calculation Disorders
* 43: L. Zamarian and Margarete Delazer: Arithmetic Learning in Adults
- Evidence from Brain Imaging
* Section VII: Individual Differences
* 44: Chris Donlan: Individual Differences
* 45: Ann Dowker: Individual Differences in Arithmetical Abilities: The
Componential Nature of Arithmetic
* 46: Jo-Anne LeFevre, Emma Wells, and Carla Sowinski: Individual
Differences in Basic Arithmetical Processes in Children and Adults
* 47: Annemie Desoete: Cognitive predictors of mathematical abilities
and disabilities
* 48: Alex M. Moore, Nathan O. Rudig, and Mark H. Ashcraft: Affect,
Motivation, Working Memory, and Mathematics
* 49: L. Verschaffel, F. Depaepe, and W. Van Dooren: Individual
differences in word problem solving
* 50: Julie Ann Jordan: Individual Differences in Children's Paths to
Arithmetical Development
* 51: Maria G. Tosto, Claire M. A. Haworth, and Yulia Kovas:
Behavioural Genomics of Mathematics
* Section VIII: Education
* 52: Richard Cowan: Education
* 53: Karen C. Fuson, Aki Murata, and Dor Abrahamson: Using Learning
Path Research to Balance Mathematics Education: Teaching/Learning for
Understanding and Fluency
* 54: Herbert P. Ginsburg, Rachael Labrecque, Kara Carpenter, and Dana
Pagar: New Possibilities for Early Mathematics Education: Cognitive
Guidelines for Designing High-Quality Software to Promote Young
Children's Meaningful Mathematics Learning
* 55: Nancy C. Jordan, Lynn S. Fuchs, Nancy Dyson: Early Number
Competencies and Mathematical Learning: Individual Variation,
Screening, and Intervention
* 56: Nick Dowrick: Every Child Counts: effects of intervention for
children struggling with mathematics
* 57: Bethany Rittle-Johnson and Michael Schneider: Developing
Conceptual and Procedural Knowledge of Mathematics: An Updated Review
* 58: Geetha B. Ramani, Robert S. Siegler: What experiences can improve
mathematical performance?