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Computational neuroscience is the study of brain function using computational approaches, which involves building and simulating mathematical models to understand how neural systems process information. This field combines principles from various disciplines such as mathematics, physics, computer science, engineering, and neuroscience to investigate the complex dynamics of neural networks and their role in cognition, perception, learning, and memory. Researchers in this area often use techniques like machine learning, artificial intelligence, and data analysis to uncover patterns and mechanisms in neural data. In the context of the hierarchy "Science/Neuroscience/Neural Networks/Computational Neuroscience", computational neuroscience leverages the principles of science and neuroscience to explore the intricacies of neural networks, providing insights into their structure, function, and behavior.