Neural Networks Reveal How Experience Shapes Learning in Brains and Machines

Researchers have used machine learning neural networks to demonstrate how different types of training can fundamentally alter learning processes in both artificial intelligence systems and biological brains. This groundbreaking study bridges neuroscience and computer science, showing parallels in how experience shapes cognitive development across these different systems. Understanding these mechanisms could advance treatments for learning disorders and cognitive conditions by revealing how the brain adapts and optimizes through experience. The findings may inform new therapeutic approaches for conditions affecting learning and memory, potentially benefiting patients with developmental and neurological challenges.