An application of formal concept analysis to neural decoding
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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.
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 , 21/10/08 .conference
Sixth International Conference on Concept Lattices and Their Applications (CLA2008)
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