ArticleeLife2023
Rate-distortion theory of neural coding and its implications for working memory.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- A population vector model of visual working memory for real-world scenes.Journal of experimental psychology. General · 2026Article
- A Population Vector Model of Visual Working Memory for Real-World Scenes.bioRxiv : the preprint server for biology · 2026Article
- Visual working memory prioritization modulates serial dependence beyond simple attentional effects.BMC biology · 2025Article
- Action subsampling supports policy compression in large action spaces.PLoS computational biology · 2025Article
- Neural and behavioral signatures of policy compression in cognitive control.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Time and memory costs jointly determine a speed-accuracy trade-off and set-size effects.Journal of experimental psychology. General · 2025Article
- Neural and behavioral signatures of policy compression in cognitive control.bioRxiv : the preprint server for biology · 2025Article
- The geometry of efficient codes: How rate-distortion trade-offs distort the latent representations of generative models.PLoS computational biology · 2025Article
- Detecting Signatures of Criticality Using Divergence Rate.Entropy (Basel, Switzerland) · 2025Article
- Continuity fields enhance visual perception through positive serial dependence.Nature reviews. Psychology · 2024Article
- Bayesian Reinforcement Learning With Limited Cognitive Load.Open mind : discoveries in cognitive science · 2024Article
- Information-theoretic principles in incremental language production.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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Authors and funding
2 authors.
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Abstract
Rate-distortion theory provides a powerful framework for understanding the nature of human memory by formalizing the relationship between information rate (the average number of bits per stimulus transmitted across the memory channel) and distortion (the cost of memory errors). Here, we show how this abstract computational-level framework can be realized by a model of neural population coding. The model reproduces key regularities of visual working memory, including some that were not previously explained by population coding models. We verify a novel prediction of the model by reanalyzing recordings of monkey prefrontal neurons during an oculomotor delayed response task.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.