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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2011
|
Subjects: | |
Online Access: | https://doaj.org/article/3d31e147728e467f9687e6bc3f6a6e5c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!