ArticleProceedings of the National Academy of Sciences of the United States of America2022
Divisive normalization is an efficient code for multivariate Pareto-distributed environments.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Bayesian estimation yields anti-Weber variability.PNAS nexus · 2025Article
- Early versus late noise differentially enhances or degrades context-dependent choice.Nature communications · 2025Article
- Article
- Divisive normalization is an efficient code for multivariate Pareto-distributed environments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Abstract
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 analytically precise: We show that, in a low-noise regime, encoding an
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