Advancing NeuroAI through developmental alignment.

Modeling developmental processes in children’s neural architecture enhances NeuroAI’s ability to replicate human-like intelligence, with early capacities serving as key benchmarks.

• Why it matters: Current AI models mainly simulate adult intelligence, neglecting how intelligence develops over time, which limits understanding and replication of human cognitive growth.
• What they did: The authors examined how neural architecture, experiences, and learning goals evolve in children, proposing their integration into AI development to support rapid learning.
• The result: Incorporating developmental principles improves the biological plausibility of models and advances AI capabilities, enabling more accurate and adaptable systems that mirror human development.