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Divisive normalization is an efficient code for multivariate Pareto-distributed environments
Divisive normalization is a canonical computation in the brain, observed across neural systems, that is often considered to be an implementation of the efficient coding principle. We provide a theoretical result that makes the conditions under which divisive normalization is an efficient code analyt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546555/ https://www.ncbi.nlm.nih.gov/pubmed/36161961 http://dx.doi.org/10.1073/pnas.2120581119 |