Author

Sebastian Schneegans

University of CambridgeORCID 0000-0002-1246-2259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1

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Paul M. BaysiD· 1 shared Robert T. TayloriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Paul M. BaysORCID

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1 paper

Recent·Most cited

NeuroscienceProceedings of the National Academy of SciencesPeer-reviewedAug 11, 2020

Stochastic sampling provides a unifying account of working memory limits

Sebastian Schneegans, Robert T. Taylor, Paul M. Bays

This study uses a stochastic sampling framework to unify models of working memory limits, showing random variability in sample counts, not discrete/continuous nature, explains human performance.

88 citationstop 2%

humanstatistical model

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