Biologically plausible framework stabilizes chaotic neural networks for efficient learning

A new framework allows artificial neural networks to mimic brain function, potentially leading to brain-like AI. This biologically plausible method uses prediction to stabilize chaotic network activity, enabling efficient learning and control without unrealistic computations. The research, published in Nature Communications, offers insights into brain learning and could inspire future AI systems.