Interpreting the neural code with formal concept analysis
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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.
Endres , 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 , 8-10 December .conference
Advances in Neural Information Processing Systems 21
This is an author version of a paper published in Advances in Neural Information Processing Systems 21
This contribution is in volume 1 of 3 for this title.
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