Stochastic sampling provides a unifying account of visual working memory limits

DOI10.1073/PNAS.2004306117zbMath1485.62160OpenAlexW3048693442WikidataQ98394391 ScholiaQ98394391MaRDI QIDQ5073139

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Publication date: 5 May 2022

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.2004306117

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Physiology (general) (92C30) Applications of statistics to psychology (62P15)

Related Items (1)

Stochastic sampling provides a unifying account of visual working memory limits

Cites Work

• The Poisson shot noise model of visual short-term memory and choice response time: normalized coding by neural population size
• Stochastic sampling provides a unifying account of visual working memory limits
• Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations

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