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A deep learning framework for neuroscience would most closely focus on "Understanding specific computations performed by the brain."
Deep learning models excel at approximating complex functions and can be used to model the kinds of computations that neural circuits might perform. By training these models on data that represents neural activity or behavior, researchers can gain insight into the computational principles underlying brain function.
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