An application of formal concept analysis to neural decoding

D M Endres, Peter Foldiak, U Priss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This 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.
Original languageEnglish
Title of host publicationSixth International Conference on Concept Lattices and Their Applications (CLA2008)
Subtitle of host publicationOlomouc, Czech Republic, October 21-23, 2008
EditorsRadim Belohlavek, Sergei O Kuznetsov
Place of PublicationOlomouc
PublisherCEUR-WS
Pages181-192
Number of pages12
ISBN (Print)978–80–244–2111–7
Publication statusPublished - 2008
EventSixth International Conference on Concept Lattices and Their Applications (CLA2008) - Olomouc, Czech Republic
Duration: 21 Oct 200823 Oct 2008

Publication series

NameCEUR Workshop Proceedings
Volume433
ISSN (Print)1613-0073

Conference

ConferenceSixth International Conference on Concept Lattices and Their Applications (CLA2008)
Country/TerritoryCzech Republic
CityOlomouc
Period21/10/0823/10/08

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