Wörgötter, Florentin Andreas

[["dc.bibliographiccitation.artnumber","e10663"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PloS one"],["dc.bibliographiccitation.lastpage","e10663"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Pugeault, Nicolas"],["dc.contributor.author","Wörgötter, Florentin"],["dc.contributor.author","Krüger, Norbert"],["dc.date.accessioned","2019-07-09T11:53:16Z"],["dc.date.available","2019-07-09T11:53:16Z"],["dc.date.issued","2010-04-20"],["dc.description.abstract","In its early stages, the visual system suffers from a lot of ambiguity and noise that severely limits the performance of early vision algorithms. This article presents feedback mechanisms between early visual processes, such as perceptual grouping, stereopsis and depth reconstruction, that allow the system to reduce this ambiguity and improve early representation of visual information. In the first part, the article proposes a local perceptual grouping algorithm that - in addition to commonly used geometric information - makes use of a novel multi-modal measure between local edge/line features. The grouping information is then used to: 1\\) disambiguate stereopsis by enforcing that stereo matches preserve groups; and 2\\) correct the reconstruction error due to the image pixel sampling using a linear interpolation over the groups. The integration of mutual feedback between early vision processes is shown to reduce considerably ambiguity and noise without the need for global constraints."],["dc.identifier.doi","10.1371/journal.pone.0010663"],["dc.identifier.fs","580961"],["dc.identifier.pmid","20544006"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7201"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60384"],["dc.language.iso","en"],["dc.notes","The work described in this paper was funded by the European projects PACOplus and IRFO. Florentin Woergoetter acknowledges funding by the\r\nBernstein Center for Computational Neuroscience, Göttingen. The funders had no role in study design, data collection and analysis, decision to publish, or\r\npreparation of the manuscript."],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/027657"],["dc.relation.euproject","PACO-PLUS"],["dc.relation.issn","1932-6203"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 2.5"],["dc.rights.access","openAccess"],["dc.rights.uri","http://creativecommons.org/licenses/by/2.5/"],["dc.subject.mesh","Algorithms"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Visual Perception"],["dc.title","Disambiguating multi-modal scene representations using perceptual grouping constraints."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","715"],["dc.bibliographiccitation.issue","11-12"],["dc.bibliographiccitation.journal","Biological Cybernetics"],["dc.bibliographiccitation.lastpage","726"],["dc.bibliographiccitation.volume","106"],["dc.contributor.author","Tetzlaff, Christian"],["dc.contributor.author","Kolodziejski, Christoph"],["dc.contributor.author","Markelic, Irene"],["dc.contributor.author","Woergoetter, Florentin"],["dc.date.accessioned","2018-11-07T09:02:44Z"],["dc.date.available","2018-11-07T09:02:44Z"],["dc.date.issued","2012"],["dc.description.abstract","After only about 10 days would the storage capacity of our nervous system be reached if we stored every bit of input. The nervous system relies on at least two mechanisms that counteract this capacity limit: compression and forgetting. But the latter mechanism needs to know how long an entity should be stored: some memories are relevant only for the next few minutes, some are important even after the passage of several years. Psychology and physiology have found and described many different memory mechanisms, and these mechanisms indeed use different time scales. In this prospect we review these mechanisms with respect to their time scale and propose relations between mechanisms in learning and memory and their underlying physiological basis."],["dc.identifier.doi","10.1007/s00422-012-0529-z"],["dc.identifier.isi","000312070900009"],["dc.identifier.pmid","23160712"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10505"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24753"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/270273/EU//Xperience"],["dc.relation.issn","1432-0770"],["dc.relation.issn","0340-1200"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 3.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/3.0/"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Learning"],["dc.subject.mesh","Memory"],["dc.subject.mesh","Models, Biological"],["dc.subject.mesh","Nervous System"],["dc.subject.mesh","Nervous System Physiological Phenomena"],["dc.subject.mesh","Neuronal Plasticity"],["dc.subject.mesh","Time Factors"],["dc.title","Time scales of memory, learning, and plasticity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]