Computational neuroscience is an interdisciplinary field that combines principles from neuroscience, computer science, and mathematics to understand how the brain processes information. Researchers use mathematical models and computer simulations to study neural systems, aiming to uncover the mechanisms behind brain functions such as perception, learning, and memory. By creating models of neural activity, scientists can test hypotheses about how different brain regions interact and how they contribute to behavior. This approach helps in understanding both normal brain function and the effects of neurological disorders, ultimately contributing to advancements in artificial intelligence and neurotechnology.