Doerig, AdrienSchmittwilken, LynnSayim, BilgeManassi, Mauroherzog, Michael H2020-10-222020-10-222020-07-21Doerig, A, Schmittwilken, L, Sayim, B, Manassi, M & herzog, M H 2020, 'Capsule networks as recurrent models of grouping and segmentation', PLoS Computational Biology , vol. 16, no. 7, e1008017. https://doi.org/10.1371/journal.pcbi.10080171553-734XORCID: /0000-0003-4210-7570/work/82659784https://hdl.handle.net/2164/15272Funding: AD was supported by the Swiss National Science Foundation grant n.176153 “Basics of visual processing: from elements to figures”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Data Availability: The human data for experiment 2 and the full code to reproduce all our results are available here: https://github.com/adriendoerig/Capsule-networks-as-recurrent-models-of-grouping-and-segmentation.192711798engcrowdingvisionspsychophysicsvisual systemBoatsdeep learningrecurrent neural networksNeural Networks, ComputerReproducibility of ResultsHumansComputational BiologyMaleNormal DistributionAlgorithmsModels, BiologicalVision, OcularComputer SimulationImage Processing, Computer-Assisted/methodsFemalePattern Recognition, VisualFEEDFORWARDOBJECT RECOGNITIONINTERFERENCEBF PsychologyGeneticsEcology, Evolution, Behavior and SystematicsCellular and Molecular NeuroscienceMolecular BiologyEcologyComputational Theory and MathematicsModelling and SimulationSupplementary DataBFJournal article10.1371/journal.pcbi.1008017http://www.scopus.com/inward/record.url?scp=85089127596&partnerID=8YFLogxK167