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Found 2 papers, 1 papers with code
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
Single neurons in neural networks are often interpretable in that they represent individual, intuitively meaningful features.
Quantifying Extrinsic Curvature in Neural Manifolds
The neural manifold hypothesis postulates that the activity of a neural population forms a low-dimensional manifold whose structure reflects that of the encoded task variables.
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