@inproceedings{endres_interpreting_2008,
	title = {Interpreting the neural code with {Formal} {Concept} {Analysis}},
	volume = {21},
	url = {https://proceedings.neurips.cc/paper_files/paper/2008/hash/eb160de1de89d9058fcb0b968dbbbd68-Abstract.html},
	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 between 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 indications for a product-of-experts code in real neurons.},
	urldate = {2025-07-19},
	booktitle = {Advances in {Neural} {Information} {Processing} {Systems}},
	publisher = {Curran Associates, Inc.},
	author = {Endres, Dominik and Foldiak, Peter},
	year = {2008},
	file = {Full Text PDF:C\:\\Users\\duoyi\\Zotero\\storage\\6H9KTED4\\Endres和Foldiak - 2008 - Interpreting the neural code with Formal Concept Analysis.pdf:application/pdf},
}