Scientists discovered the brain doesn't make decisions the way we thought
Researchers at the University of Illinois Urbana-Champaign have discovered that the brain processes decisions earlier than previously thought, challenging the traditional hierarchical model. This finding suggests that feedback loops play a critical role in decision-making, which could lead to more energy-efficient AI architectures.
Why it matters
Redefining how we understand biological decision-making could lead to a paradigm shift in AI development, moving away from linear processing toward more efficient, brain-inspired systems.
Scientists at the University of Illinois Urbana Champaign have uncovered evidence that could reshape how researchers think about both the brain and artificial intelligence. Their findings suggest that decision making begins much earlier in the brain than traditional theories propose, offering fresh ideas for designing future AI systems that are more capable and far more energy efficient.
Led by electrical and computer engineering professor Yurii Vlasov at The Grainger College of Engineering, the research was published in Proceedings of the National Academy of Science (PNAS) . The study points to an unexpected role for early sensory brain regions in decision making, challenging the long accepted view that decisions emerge only after information moves through a strict hierarchy of brain regions.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in