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Theoretical Neuroscience is an area of study that employs mathematical and computational methods to understand and predict neural processes. It is concerned with understanding how neurons interact to form complex networks, as well as modeling these interactions to simulate behavior. This field draws on concepts from chemistry, such as the molecular mechanisms underlying synaptic transmission, as well as principles from physics and mathematics to build quantitative models of neural systems. In this way, Theoretical Neuroscience serves as a bridge between the more abstract fields of mathematics and physics, and the empirical study of the brain in neuroscience, providing a framework for understanding how the physical structure of neurons gives rise to complex behaviors at the network level.