Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain’s wiring supports the way we think and act. The study, published June 5 in Nature Methods, used imaging data from the Human Connectome Project to align neural activity with its underlying circuitry.

What if your brain had a built-in map – not of places, but of possible futures? Researchers at the Champalimaud Foundation (CF) blend neuroscience and artificial intelligence (AI) to reveal that populations of dopamine neurons in the brain don’t just track whether rewards are coming – they encode maps of when those rewards might arrive and how big they might be.

These maps adapt to context and may help explain how we weigh risks, and why some of us act on impulse while others hold back. Strikingly, this biological mechanism mirrors recent advances in AI, and could inspire new ways for machines to predict, evaluate and adapt to uncertain environments more like we do.