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dc.contributor.authorEndres, D M
dc.contributor.authorFoldiak, Peter
dc.contributor.authorPriss, U
dc.contributor.editorBelohlavek, Radim
dc.contributor.editorKuznetsov, Sergei O
dc.date.accessioned2012-07-17T13:01:01Z
dc.date.available2012-07-17T13:01:01Z
dc.date.issued2008
dc.identifier.citationEndres , D M , Foldiak , P & Priss , U 2008 , An application of formal concept analysis to neural decoding . in R Belohlavek & S O Kuznetsov (eds) , Sixth International Conference on Concept Lattices and Their Applications (CLA2008) : Olomouc, Czech Republic, October 21-23, 2008 . CEUR Workshop Proceedings , vol. 433 , CEUR-WS , Olomouc , pp. 181-192 , Sixth International Conference on Concept Lattices and Their Applications (CLA2008) , Olomouc , Czech Republic , 21/10/08 .en
dc.identifier.citationconferenceen
dc.identifier.isbn978–80–244–2111–7
dc.identifier.issn1613-0073
dc.identifier.otherPURE: 24226598
dc.identifier.otherPURE UUID: 440eeae8-2d00-464c-8880-971ed77786b1
dc.identifier.otherstandrews_research_output: 31507
dc.identifier.urihttps://hdl.handle.net/10023/2993
dc.description.abstractThis paper proposes a novel application of Formal Concept Analysis (FCA) to neural decoding: the semantic relationships between the neural representations of large sets of stimuli are explored using concept lattices. In particular, the effects of neural code sparsity are modelled using the lattices. An exact Bayesian approach is employed to construct the formal context needed by FCA. This method is explained using an example of neurophysiological data from the high-level visual cortical area STSa. Prominent features of the resulting concept lattices are discussed, including indications for a product-of-experts code in real neurons.
dc.format.extent12
dc.language.isoeng
dc.publisherCEUR-WS
dc.relation.ispartofSixth International Conference on Concept Lattices and Their Applications (CLA2008)en
dc.relation.ispartofseriesCEUR Workshop Proceedingsen
dc.rights(c) 2009 The authors. Copying permitted for private and academic purposes.en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subject.lccQA75en
dc.subject.lccRC0321en
dc.titleAn application of formal concept analysis to neural decodingen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.identifier.urlhttp://cla2008.inf.upol.cz/en
dc.identifier.urlhttp://www.st-andrews.ac.uk/~pf2/neuroCLA.pdfen


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