Brain Networks Rewire as Mice Learn to Tell Visual Signals Apart

Mice were trained to decide whether a picture meant “go” or “no‑go. ” Scientists recorded the electrical activity of single neurons in ten brain areas for weeks. They used ultra‑flexible wires that stayed attached to the mice’s heads, so they could watch how each region talked to the others during learning. At first, many parts of the brain fired when a picture appeared, but the messages were scattered. As training went on, the connections between visual and frontal regions grew stronger when the mouse correctly chose “no‑go. ”This new subnetwork helped the animal filter out unwanted responses. The shift wasn’t just a local change. Neurons across the brain began to spread visual information more widely. The importance of a region in this network—its “rank”—predicted when it would first recognize the picture. So, learning rewires the brain’s mid‑level map: connections strengthen or weaken, and sensory signals hop faster through higher‑ranked nodes. The study shows that the brain’s large‑scale network is flexible, adjusting how it processes visual cues to improve behavior.