An application of formal concept analysis to neural decoding

D M Endres; Peter Foldiak; U Priss

An application of formal concept analysis to neural decoding

D M Endres, Peter Foldiak, U Priss

School of Psychology and Neuroscience

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Sixth International Conference on Concept Lattices and Their Applications (CLA2008)
Subtitle of host publication	Olomouc, Czech Republic, October 21-23, 2008
Editors	Radim Belohlavek, Sergei O Kuznetsov
Place of Publication	Olomouc
Publisher	CEUR-WS
Pages	181-192
Number of pages	12
ISBN (Print)	978–80–244–2111–7
Publication status	Published - 2008
Event	Sixth International Conference on Concept Lattices and Their Applications (CLA2008) - Olomouc, Czech Republic Duration: 21 Oct 2008 → 23 Oct 2008

Publication series

Name	CEUR Workshop Proceedings
Volume	433
ISSN (Print)	1613-0073

Conference

Conference	Sixth International Conference on Concept Lattices and Their Applications (CLA2008)
Country/Territory	Czech Republic
City	Olomouc
Period	21/10/08 → 23/10/08

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An Application of Formal Concept Analysis to Neural Decoding
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@inproceedings{440eeae82d00464c8880971ed77786b1,

title = "An application of formal concept analysis to neural decoding",

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.",

author = "Endres, {D M} and Peter Foldiak and U Priss",

year = "2008",

language = "English",

isbn = "978–80–244–2111–7",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "181--192",

editor = "Radim Belohlavek and Kuznetsov, {Sergei O}",

booktitle = "Sixth International Conference on Concept Lattices and Their Applications (CLA2008)",

note = "Sixth International Conference on Concept Lattices and Their Applications (CLA2008) ; Conference date: 21-10-2008 Through 23-10-2008",

}

Endres, DM, Foldiak, P & Priss, U 2008, An application of formal concept analysis to neural decoding. in R Belohlavek & SO 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.

An application of formal concept analysis to neural decoding. / Endres, D M; Foldiak, Peter; Priss, U.
Sixth International Conference on Concept Lattices and Their Applications (CLA2008): Olomouc, Czech Republic, October 21-23, 2008. ed. / Radim Belohlavek; Sergei O Kuznetsov. Olomouc: CEUR-WS, 2008. p. 181-192 (CEUR Workshop Proceedings; Vol. 433).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An application of formal concept analysis to neural decoding

AU - Endres, D M

AU - Foldiak, Peter

AU - Priss, U

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://cla2008.inf.upol.cz/

UR - http://www.st-andrews.ac.uk/~pf2/neuroCLA.pdf

M3 - Conference contribution

SN - 978–80–244–2111–7

T3 - CEUR Workshop Proceedings

SP - 181

EP - 192

BT - Sixth International Conference on Concept Lattices and Their Applications (CLA2008)

A2 - Belohlavek, Radim

A2 - Kuznetsov, Sergei O

PB - CEUR-WS

CY - Olomouc

T2 - Sixth International Conference on Concept Lattices and Their Applications (CLA2008)

Y2 - 21 October 2008 through 23 October 2008

ER -

An application of formal concept analysis to neural decoding

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