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- Maximally_informative_dimensions abstract "Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a way of projecting a stimulus onto a low-dimensional subspace so that as much information as possible about the stimulus is preserved in the neural response. It is motivated by the fact that natural stimuli are typically confined by their statistics to a lower-dimensional space than that spanned by white noise. Within this subspace, however, stimulus-response functions may be either linear or nonlinear. The idea was originally developed by Tatyana Sharpee, Nicole Rust, and William Bialek in 2003.".
- Maximally_informative_dimensions wikiPageID "40201554".
- Maximally_informative_dimensions wikiPageRevisionID "604223671".
- Maximally_informative_dimensions subject Category:Neurology.
- Maximally_informative_dimensions comment "Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a way of projecting a stimulus onto a low-dimensional subspace so that as much information as possible about the stimulus is preserved in the neural response. It is motivated by the fact that natural stimuli are typically confined by their statistics to a lower-dimensional space than that spanned by white noise.".
- Maximally_informative_dimensions label "Maximally informative dimensions".
- Maximally_informative_dimensions sameAs m.0wy50cm.
- Maximally_informative_dimensions sameAs Q17145678.
- Maximally_informative_dimensions sameAs Q17145678.
- Maximally_informative_dimensions wasDerivedFrom Maximally_informative_dimensions?oldid=604223671.
- Maximally_informative_dimensions isPrimaryTopicOf Maximally_informative_dimensions.