Brain mechanisms underlying mathematics and its acquisition
This project aims to systematically study the cognitive mechanisms of mathematical concept representation and growth through education, using advanced brain imaging techniques to inform educational applications.
Projectdetails
Introduction
Mathematics is a fundamental tool by which we understand the universe, yet its cognitive and brain mechanisms are vastly understudied. I propose a systematic study of the human representation of mathematical concepts and their growth with education. The project will test the “language of thought” theory according to which humans share core concepts with other animals (numbers, objects, shapes, spatial maps) but the growth of math relies on a human symbolic composition system that recursively recombines those concepts into arbitrarily more complex expressions.
Work Package 1
WP1 will generate maps of mathematical concepts in adults varying in education, using high-resolution single-subject 7T fMRI and MEG. The impact of education will be studied by:
- Testing concepts ranging from elementary to advanced.
- Comparing adults whose education varies from high school to professional math.
- Including blind and high-functioning autism subjects in the study.
Work Package 2
WP2 will focus on five concepts of central importance in math:
- Geometrical shape
- Pattern
- Set
- Number line
- Graph
For each concept, we will map developmental change by acquiring behavioral and fMRI data in adults and children. The model predicts that concept acquisition can be modeled as a construction of increasingly complex mental expressions whose complexity is predicted by minimal description length (MDL).
Work Package 3
WP3 will map the brain changes during the acquisition of a math concept. Experiments will test the role of:
- Feedback
- Repetition
- Retrieval practice
- Sleep
- Conceptual diversity
- Age
These factors will be analyzed in facilitating behavioral and brain measures of conceptual change.
Work Package 4
Finally, WP4 will examine whether artificial neural networks can capture the above results and investigate how these networks can be enhanced to achieve human-like performance.
Conclusion
Overall, the results will shed light on how mathematical education changes the human brain and how conceptual change occurs, thus paving the way to real-life educational applications in schools.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.857.101 |
Totale projectbegroting | € 2.857.101 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVESpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Early mathematical learning dynamics in the developing brain
MATHWAVES aims to uncover the neural mechanisms of early mathematical learning and individual differences through longitudinal and cross-sectional studies using magnetoencephalography.
Cognitive computational neuroscience approach to the development of mathematical competence
This project aims to integrate neuroimaging and artificial neural networks to explore the developmental relationship between symbolic and nonsymbolic number processing in children.
Dynamics of mental representations and learning in preverbal infants
This project aims to investigate early cognitive processes in infants using advanced EEG techniques to understand information processing and conscious access, enhancing insights into early learning and cognition.
The ontogenesis of abstract thought – higher-order representations in the maturing brain
REPRESENT aims to uncover the cognitive and neural foundations of abstract reasoning in early childhood by studying brain network maturation and its impact on representing beliefs and possibilities.
Wrap It Up: Deciphering experience-dependent myelin growth across development.
WRAPPED aims to investigate the role of myelin in human learning across the lifespan using advanced MRI technology to enhance understanding of brain plasticity and its implications for disorders.