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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203063/ https://www.ncbi.nlm.nih.gov/pubmed/22046122 http://dx.doi.org/10.1371/journal.pcbi.1002249 |