Neural Patterns: How Many Vectors Span Neural Latent Space
Neural systems transform raw data into meaningful representations through high-dimensional vector spaces. These vectors—mathematical constructs capturing features, states, or predictions—organize complex information across hidden layers, enabling pattern recognition, generalization, and adaptive learning. Understanding how these vectors fill and span neural latent spaces reveals fundamental principles underlying intelligence, from classical computational models to modern deep learning. […]
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