Second order dimensionality reduction using minimum and maximum mutual information models.
Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC) or maximally informative dimensions (MID), are limited to Gaussian stimuli or are only able to identify a small number of features due to the curse of dimensionality. To ov...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2011
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3d31e147728e467f9687e6bc3f6a6e5c |
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