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.

Subsidie
€ 1.647.655
2024

Projectdetails

Introduction

Thinking about the world–what is and what might be–is fundamental to human life. The foundation for this world-understanding is laid in the preschool years of childhood. Around the age of 4, children begin to reason not only about the real world but also about what is possible or what people believe about the world.

Developmental Breakthrough

The acquisition of these abstract representations of the world is reflected in a major developmental breakthrough across domains of human cognition. The mechanisms that drive this breakthrough, however, are unknown.

Project Aim

REPRESENT aims to clarify the cognitive and neural foundation of how we, in early childhood, come to represent the world in abstract terms. Based on novel findings, I propose that the maturation of a core network of the human brain–the Default Mode Network–allows children to decouple representations from sensory input and thus entertain several different representations of the world simultaneously.

Connectivity and Reasoning

Increased connectivity to prefrontal regions and coupling to other cognitive networks are proposed to enable children to compute the relation between these representations, providing the foundation for abstract reasoning.

Methodology

REPRESENT will, for the first time, connect multivariate and connectivity methods in early childhood combined with novel task designs to reveal the precise neural representations that underlie reasoning about:

  1. Different beliefs
  2. Possibilities
  3. Their functional interplay in maturing networks of the brain.

Work Packages

  • WP1 targets change in these representations and networks in preschool-age as mature abstract reasoning emerges.
  • WP2 aims to reveal how infants, compared to preschoolers, represent situations involving multiple beliefs or possibilities.

Implications

This new approach will allow REPRESENT to resolve longstanding questions of how uniquely human abstract thought develops, and how it is implemented in the human brain. This has myriad implications for developmental and cognitive theory, and for our understanding of the human brain.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.647.655
Totale projectbegroting€ 1.647.655

Tijdlijn

Startdatum1-11-2024
Einddatum31-10-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • UNIVERSITY OF TECHNOLOGY NUREMBERGpenvoerder
  • MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Land(en)

Germany

Vergelijkbare projecten binnen European Research Council

ERC Advanced...

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.

€ 2.496.700
ERC Advanced...

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.

€ 2.857.101
ERC Starting...

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.

€ 1.496.500
ERC Starting...

Uncovering the core dimensions of visual object representations

COREDIM aims to identify the core dimensions of visual object representations using neuroimaging, behavioral data, and AI, enhancing our understanding of visual processing in the brain.

€ 1.500.000
ERC Starting...

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.

€ 1.497.516