Article

Non-saturating dimensionality, contextual dependence, and the limits of unsupervised decoding in motor cortex

2026-01-26

Abstract excerpt

Understanding how motor cortex generates movement is a foundational challenge in neuroscience. Unsupervised dimensionality reduction techniques, such as principal component analysis (PCA), are widely used to transform high-dimensional neural recordings into a compact, low-dimensional space. The dimensionality of this space—that is, the number of principal components needed to explain a fixed fraction of variance—i...

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Literature Corpus work: 6afb2b79-7706-568b-86bb-6f945222f6a0
DOI: 10.64898/2026.01.26.701668

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