From superposition to sparse codes: interpretable representations in neural networks

David Klindt, Charles O'Neill, Patrik Reizinger +2

Understanding how information is represented in neural networks is a fundamental challenge in both neuroscience and artificial intelligence. Despite their nonlinear architectures,…