Interpreting the Neural Code with Formal Concept Analysis

Research areas:
Uncategorized
Year:
2009
Type of Publication:
Article
Authors:
Endres, Dominik
Földiák, Peter
Journal:
Advances in Neural Information Processing Systems
Volume:
21
Pages:
425-432
Month:
01
BibTex:
Note:
reviewed
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.