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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Autores principales: | , , , |
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Formato: | article |
Lenguaje: | EN |
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Public Library of Science (PLoS)
2011
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Acceso en línea: | https://doaj.org/article/3d31e147728e467f9687e6bc3f6a6e5c |
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