Brain-inspired randomness boosts AI vision

Researchers at the Hertie Institute for Clinical Brain Research in Tübingen, led by professor Markus Siegel, found that combining top-down feedback with neural variability makes artificial vision systems more robust. Published in the journal Patterns in 2026, the study shows this approach helps networks cope with image noise and distribution shifts better than feedback alone.