Загрузка...
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...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2011
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3203063/ https://ncbi.nlm.nih.gov/pubmed/22046122 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1002249 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|