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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 wikiPageLength "4979".
- Maximally_informative_dimensions wikiPageOutDegree "22".
- Maximally_informative_dimensions wikiPageRevisionID "630286667".
- Maximally_informative_dimensions wikiPageWikiLink Action_potential.
- Maximally_informative_dimensions wikiPageWikiLink Bayes_theorem.
- Maximally_informative_dimensions wikiPageWikiLink Category:Computational_neuroscience.
- Maximally_informative_dimensions wikiPageWikiLink Category:Neuroscience.
- Maximally_informative_dimensions wikiPageWikiLink Dimensionality_reduction.
- Maximally_informative_dimensions wikiPageWikiLink Dirac_delta_function.
- Maximally_informative_dimensions wikiPageWikiLink Linear_span.
- Maximally_informative_dimensions wikiPageWikiLink Linearity.
- Maximally_informative_dimensions wikiPageWikiLink Mean.
- Maximally_informative_dimensions wikiPageWikiLink Mutual_information.
- Maximally_informative_dimensions wikiPageWikiLink Neural_coding.
- Maximally_informative_dimensions wikiPageWikiLink Neuron.
- Maximally_informative_dimensions wikiPageWikiLink Nonlinear_system.
- Maximally_informative_dimensions wikiPageWikiLink Normal_distribution.
- Maximally_informative_dimensions wikiPageWikiLink Projection_(mathematics).
- Maximally_informative_dimensions wikiPageWikiLink Spike-triggered_covariance.
- Maximally_informative_dimensions wikiPageWikiLink Statistics.
- Maximally_informative_dimensions wikiPageWikiLink Stimulus–response_model.
- Maximally_informative_dimensions wikiPageWikiLink Subspace.
- Maximally_informative_dimensions wikiPageWikiLink White_noise.
- Maximally_informative_dimensions wikiPageWikiLink William_Bialek.
- Maximally_informative_dimensions wikiPageWikiLinkText "maximally informative dimensions".
- Maximally_informative_dimensions wikiPageUsesTemplate Template:Reflist.
- Maximally_informative_dimensions subject Category:Computational_neuroscience.
- Maximally_informative_dimensions subject Category:Neuroscience.
- Maximally_informative_dimensions hypernym Technique.
- Maximally_informative_dimensions type TopicalConcept.
- 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 Q17145678.
- Maximally_informative_dimensions sameAs m.0wy50cm.
- Maximally_informative_dimensions sameAs Q17145678.
- Maximally_informative_dimensions wasDerivedFrom Maximally_informative_dimensions?oldid=630286667.
- Maximally_informative_dimensions isPrimaryTopicOf Maximally_informative_dimensions.