
Early Brain Signals Drive Decisions, Hinting at a Smarter, Greener AI
UIUC researchers show that decision-making engages early sensory brain regions via feedback from higher areas, challenging the idea of a strictly bottom-up process and suggesting that AI could be made more energy-efficient by emulating brain-wide feedback loops. The findings, derived from mouse experiments and published in PNAS, are not a turnkey blueprint but point to new directions for AI architectures and future research into brain timing and neural activity.





