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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/2993
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Title: An application of formal concept analysis to neural decoding
Authors: Endres, D M
Foldiak, Peter
Priss, U
Editors: Belohlavek, Radim
Kuznetsov, Sergei O
Keywords: QA75 Electronic computers. Computer science
Issue Date: 2008
Citation: Endres , 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 , 21-23 October .
conference
Series/Report no.: CEUR Workshop Proceedings
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.
Version: Postprint
URI: http://hdl.handle.net/10023/2993
http://www.st-andrews.ac.uk/~pf2/neuroCLA.pdf
http://cla2008.inf.upol.cz/
ISBN: 978–80–244–2111–7
ISSN: 1613-0073
Type: Conference item
Rights: (c) 2009 The authors. Copying permitted for private and academic purposes.
Publisher: CEUR-WS
Appears in Collections:University of St Andrews Research
Psychology & Neuroscience Research



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