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dc.contributor.authorEndres, D
dc.contributor.authorFoldiak, Peter
dc.contributor.editorKoller, D
dc.date.accessioned2012-07-17T12:01:01Z
dc.date.available2012-07-17T12:01:01Z
dc.date.issued2009
dc.identifier.citationEndres , D & Foldiak , P 2009 , Interpreting the neural code with formal concept analysis . in D Koller (ed.) , Advances in Neural Information Processing Systems 21 . Neural Information Processing Systems Annual Conference , Curran Associates, Inc. , Advances in Neural Information Processing Systems , pp. 428 - 435 , 22nd annual Conference on Neural Information Processing Systems , Vancouver , Canada , 8/12/08 .en
dc.identifier.citationconferenceen
dc.identifier.isbn9781605609492
dc.identifier.otherPURE: 457274
dc.identifier.otherPURE UUID: cd3a2e2d-b100-42fa-9bfb-9a22e0ab65bb
dc.identifier.otherstandrews_research_output: 31253
dc.identifier.otherScopus: 70349777030
dc.identifier.urihttp://hdl.handle.net/10023/2991
dc.descriptionThis contribution is in volume 1 of 3 for this title.en
dc.description.abstractWe propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explore the semantic relationships in the neural representation of large sets of stimuli. FCA provides a way of displaying and interpreting such relationships via concept lattices. We explore the effects of neural code sparsity on the lattice. We then analyze neurophysiological data from high-level visual cortical area STSa, using an exact Bayesian approach to construct the formal context needed by FCA. Prominent features of the resulting concept lattices are discussed, including hierarchical face representation and indications for a product-of-experts code in real neurons.
dc.language.isoeng
dc.publisherCurran Associates, Inc.
dc.relation.ispartofAdvances in Neural Information Processing Systems 21en
dc.relation.ispartofseriesNeural Information Processing Systems Annual Conferenceen
dc.rightsThis is an author version of a paper published in Advances in Neural Information Processing Systems 21en
dc.titleInterpreting the neural code with formal concept analysisen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Psychology and Neuroscienceen
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=70349777030&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.proceedings.com/05012.htmlen
dc.identifier.urlhttp://books.nips.cc/papers/files/nips21/NIPS2008_0117.pdfen


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