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.
Projectdetails
Introduction
Mathematical thinking is one of the most remarkable human cognitive abilities, but unfortunately, not all individuals are equal concerning those abilities. Becoming numerate is a long-lasting learning process in which the early stages are of paramount importance to ensure positive future outcomes. However, the neural bases supporting these early abilities and the path to inter-individual differences remain elusive.
Project Objectives
MATHWAVES aims at understanding the neural mechanisms supporting the emergence of the early steps of mathematical learning. The project will focus on several key objectives:
- Longitudinal Framework: Test whether the developmental trajectory of audio-visual integration of numerical formats is the gateway to mathematical abstraction.
- Cross-Sectional Comparisons: Assess the balance between brain networks engaged in efficient implicit and explicit numerical processing.
- Brain Plasticity Investigation: Investigate whether mathematical learning is associated with brain plasticity at different timescales:
- The slow changes across development
- The short-term changes while processing numbers.
Developmental Changes
We will highlight the developmental changes in long-lasting or transient properties of the brain’s functional organization that explain the fluctuations in mathematical abilities within and across individuals.
Methodology
Through a novel combination of frequency-based and functional connectivity approaches implemented in magnetoencephalography, MATHWAVES will dynamically track early mathematical learning and neuroplastic changes associated with the emergence of those abilities.
Significance
Characterizing the neurocognitive mechanisms of early mathematical learning at different timescales represents a complete paradigm shift that is imperative to understand learning dynamics at the onset of human mathematical thinking and individual differences.
MATHWAVES tackles the broader question of how learning reshapes the developing brain and enables several groundbreaking new avenues for research, but also future diagnosis and remedial techniques.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.497.516 |
Totale projectbegroting | € 1.497.516 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITE LIBRE DE BRUXELLESpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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Cognitive computational neuroscience approach to the development of mathematical competenceThis project aims to integrate neuroimaging and artificial neural networks to explore the developmental relationship between symbolic and nonsymbolic number processing in children. | ERC Starting... | € 1.496.500 | 2025 | Details |
Dynamics of mental representations and learning in preverbal infantsThis 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. | ERC Advanced... | € 2.496.700 | 2024 | Details |
Infant verbal Memory in Development: a window for understanding language constraints and brain plasticity from birthIN-MIND investigates the development of verbal memory in infants to understand its role in language learning, using innovative methods to identify memory capacities and intervention windows. | ERC Starting... | € 1.499.798 | 2022 | Details |
A Predictive Coding Perspective of Brain Dynamics: the case of Oscillatory Travelling WavesThis project investigates the role of oscillatory traveling waves in brain dynamics using a multi-scale computational model to enhance understanding of cognitive functions and improve artificial vision systems. | ERC Starting... | € 1.427.563 | 2023 | Details |
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.
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.
Infant verbal Memory in Development: a window for understanding language constraints and brain plasticity from birth
IN-MIND investigates the development of verbal memory in infants to understand its role in language learning, using innovative methods to identify memory capacities and intervention windows.
A Predictive Coding Perspective of Brain Dynamics: the case of Oscillatory Travelling Waves
This project investigates the role of oscillatory traveling waves in brain dynamics using a multi-scale computational model to enhance understanding of cognitive functions and improve artificial vision systems.