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Predictive coding and stochastic resonance as fundamental principles of auditory perception
How is information processed in the brain during perception?
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks
Deep neural networks typically outperform more traditional machine learning models in their ability to classify complex data, and yet is not clear how the individual hidden layers of a deep network contribute to the overall classification performance.
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