Researchers developed a machine learning model that mimics how the brains of social animals distinguish between sound categories, like mating, food or danger, and react accordingly. The algorithm helps explain how our brains recognize the meaning of communication sounds, such as spoken words or animal calls, providing crucial insight into the intricacies of neuronal processing. Insights from the research pave the way for treating disorders that affect speech recognition and improving hearing aids.