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Estimating linear-nonlinear models using Rényi divergences
This paper compares a family of methods for characterizing neural feature selectivity using natural stimuli in the framework of the linear-nonlinear model. In this model, the spike probability depends in a nonlinear way on a small number of stimulus dimensions. The relevant stimulus dimensions can b...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2782376/ https://ncbi.nlm.nih.gov/pubmed/19568981 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/09548980902950891 |
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