The paper outlines a scientific review from the journal Neuron that explores the intersection of human neurodevelopment and artificial intelligence. By comparing the biological maturation of the infant brain to the training phases of neural networks, the research examines how structured experience shapes sensory and cognitive abilities. Detailed timelines illustrate key milestones from gestation to one year, highlighting how early sensitivities to sound and faces evolve into complex perceptual skills. The extensive bibliography emphasizes a multidisciplinary approach, drawing on studies of cortical plasticity, visual pathways, and computational modeling. Ultimately, these sources aim to build more robust mechanistic models of intelligence by mimicking the developmental "curriculum" found in nature.
References:
Ayzenberg V, Bonner M F, Bayet L. Advancing NeuroAI through developmental alignment[J]. Neuron, 2026.
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