Wordt geladen...
Bayesian Inference for Generalized Linear Models for Spiking Neurons
Generalized Linear Models (GLMs) are commonly used statistical methods for modelling the relationship between neural population activity and presented stimuli. When the dimension of the parameter space is large, strong regularization has to be used in order to fit GLMs to datasets of realistic size...
Bewaard in:
| Hoofdauteurs: | , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Research Foundation
2010
|
| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2889714/ https://ncbi.nlm.nih.gov/pubmed/20577627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2010.00012 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|