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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fitzgerald, Jeffrey D., Rowekamp, Ryan J., Sincich, Lawrence C., Sharpee, Tatyana O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
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

Internet

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

Ejemplares similares