Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
A proposed AI-assisted workflow could make neuroscience research more reproducible and reliable by adapting software engineering practices such as containerized environments, automated data validation ...
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