Interpreting the neural code with formal concept analysis

D Endres, Peter Foldiak

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

4 Citations (Scopus)
2 Downloads (Pure)

Abstract

We 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.
Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 21
EditorsD Koller
Place of PublicationAdvances in Neural Information Processing Systems
PublisherCurran Associates, Inc.
Pages428 - 435
ISBN (Print)9781605609492
Publication statusPublished - 2009
Event22nd annual Conference on Neural Information Processing Systems - Vancouver, Canada
Duration: 8 Dec 200810 Dec 2008

Publication series

NameNeural Information Processing Systems Annual Conference

Conference

Conference22nd annual Conference on Neural Information Processing Systems
Country/TerritoryCanada
CityVancouver
Period8/12/0810/12/08

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