Computational Neuroscience is a 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. This discipline helps bridge the gap between biological data and theoretical frameworks, allowing scientists to predict how neurons interact and how networks of neurons contribute to behavior. By analyzing data from techniques like electrophysiology and functional MRI, computational neuroscientists can create models that simulate brain activity and explore potential treatments for neurological disorders.